820 AI Engineer jobs in South Africa
Graduate AI Engineer
Posted 1 day ago
Job Viewed
Job Description
Overview
The Graduate AI Engineer will work with the broader Data Engineering team. They will focus on the use of Microsoft AI platforms mainly Copilot, Copilot Studio, Azure AI Foundry, and Power Platform to build solutions, develop proofs of concept, and contribute to the creation of scalable, enterprise-wide AI solutions. This role is open to graduates with limited work experience coupled with strong academic performance and the knowledge and experience listed below.
What You'll Do- Fast-paced delivery of low-code/no-code POCs (Proof of Concepts) to test the resolution of business problems and address them where possible.
- Provide first line support for users of Copilot Chat and M365 Copilot.
- Processing raw data transformation, feature creation & feature selection.
- Implement machine learning, AI models, Agentic AI models and integrate them into existing systems using Copilot Studio, Azure AI Foundry and Power Platform.
- Participate in brainstorming sessions to conceptualize AI solutions that address business challenges.
- Support in business analysis of business processes impacted by AI and data-driven solutions.
- Stay up-to-date with the latest trends and advancements in AI and data analytics.
- Participate in workshops, presentations, and demonstrations to showcase AI capabilities and benefits.
- Excellent communication, problem-solving and analytical skills with good fluency in English.
- Demonstrable willingness and ability to learn new skills.
- Demonstrable experience in data analysis, preferably with exposure to AI and machine learning tools.
- Proficiency in data analysis tools such as Python, R or SQL.
- Familiarity with AI tools and platforms like Copilot, Copilot Studio, Azure AI Foundry, and Power Platform.
- Ability to work collaboratively in a global team environment.
- Excellent interpersonal skills, possessing the confidence to build relationships with all levels of stakeholder.
- Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field with evidence of high levels of academic performance.
- Demonstrable portfolio of projects that show experience and skill.
- Certifications in AI, data analysis, or related areas are a plus.
- Any Power Platform certification will be an advantage.
- Learning – Demonstrates a keen ability to learn and adapt in a rapidly evolving area of technology.
- Problem Solving – Owns problems, identifies and works with the right people to solve problems quickly within own remit and wider team(s).
- Innovation & Creativity – Reviews and looks for efficiencies in ways of working; constantly seeks innovative ways to improve services we offer to our clients; shows initiative in work, contributing new solutions or new ways of doing things.
- Results Oriented – Delivers on personal objectives to deliver to strategic and department plans; focuses on delivery, strives to exceed expectations; shows drive and determination to achieve high standards.
- Communication, planning work and influencing – Communicates clearly and concisely using language appropriate to audience; displays sensitivity to develop constructive relationships with others; plans and organises workload of own and others, suggests priorities as necessary.
Benefits
Control Risks SA is committed to employment equity. Preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the company. Control Risks SA retains the right not to make an appointment and to verify all information provided by candidates.
Seniority level- Entry level
- Full-time
- Information Technology
- Security and Investigations
Referrals increase your chances of interviewing at Control Risks by 2x
Johannesburg, Gauteng, South Africa 20 hours ago
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Data Engineer I - QuantumBlack, AI by McKinsey
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Data Scientist I - Balance Sheet Management
Johannesburg, Gauteng, South Africa 1 day ago
Mid-Senior Python Software Engineer – AI/ML
Johannesburg, Gauteng, South Africa 1 hour ago
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#J-18808-LjbffrGraduate AI Engineer
Posted 3 days ago
Job Viewed
Job Description
The Graduate AI Engineer will work with the broader Data Engineering team. They will focus on the use of Microsoft AI platforms mainly Copilot, Copilot Studio, Azure AI Foundry, and Power Platform to build solutions, develop proofs of concept, and contribute to the creation of scalable, enterprise-wide AI solutions.
This role is open to graduates with limited work experience coupled with strong academic performance and the knowledge and experience listed below.
What You'll Do:- Fast-paced delivery of low-code/no-code POCs (Proof of Concepts) to test the resolution of business problems and address them where possible.
- Provide first line support for users of Copilot Chat and M365 Copilot.
- Processing raw data transformation, feature creation & feature selection.
- Implement machine learning, AI models, Agentic AI models and integrate them into existing systems using Copilot Studio, Azure AI Foundry and Power Platform.
- Participate in brainstorming sessions to conceptualize AI solutions that address business challenges.
- Support in business analysis of business processes impacted by AI and data-driven solutions.
- Stay up-to-date with the latest trends and advancements in AI and data analytics.
- Participate in workshops, presentations, and demonstrations to showcase AI capabilities and benefits.
- Excellent communication, problem-solving and analytical skills with good fluency in English.
- Demonstrable willingness and ability to learn new skills
- Demonstrable experience in data analysis, preferably with exposure to AI and machine learning tools.
- Proficiency in data analysis tools such as Python, R or SQL.
- Familiarity with AI tools and platforms like Copilot, Copilot Studio, Azure AI Foundry, and Power Platform.
- Ability to work collaboratively in a global team environment.
- Excellent interpersonal skills, possessing the confidence to build relationships with all levels of stakeholder.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, or a related field with evidence of high levels of academic performance
- Demonstrable portfolio of projects that show experience and skill
- Certifications in AI, data analysis, or related areas are a plus.
- Any Power Platform certification will be an advantage
- Learning
- Demonstrates a keen ability to learn and adapt in a rapidly evolving area of technology.
- Problem Solving
- Owns problems, identifies and works with the right people to solve problems quickly within own remit and wider team(s)
- Innovation & Creativity
- Reviews and looks for efficiencies in ways of working; Constantly seeks innovative ways to improve services we offer to our clients.
- Shows initiative in work, contributing new solutions or new ways of doing things
- Results Oriented
- Delivers on personal objectives to deliver to strategic and department plans – Focuses on delivery, strives to exceed expectations
- Shows drive and determination to achieve high standards
- Communication, planning work and influencing
- Communicates clearly and concisely using language appropriate to audience
- Displays sensitivity to develop constructive relationships with others
- Plans and organises workload of own and others, suggests priorities as necessary
"Control Risks SA is committed to employment equity. Preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the company. Control Risks SA retains the right not to make an appointment and to verify all information provided by candidates ."
#J-18808-LjbffrAI Engineer – Chatbot
Posted 7 days ago
Job Viewed
Job Description
Requirements
- Minimum of 5 years of work experience in developing conversational AI solutions, with a focus on chatbot development.
- Extensive familiarity with pertinent frameworks used in chatbot development, such as Dialogflow, Microsoft Bot Framework, Rasa etc.
- Capability to work autonomously and effectively in an asynchronous work environment.
- Strong proficiency in NLP/LLM and the ability to implement NLP techniques effectively.
- Experience in integrating chatbots with existing systems.
- Familiarity with AI and machine learning concepts.
- Excellent problem-solving skills and ability to troubleshoot technical issues.
- Strong documentation skills to create comprehensive and clear technical documentation.
About Braintrust
What you’ll be working on
Braintrust is on a mission to provide unparalleled growth opportunities for the world’s talent to thrive. We were founded by two serial entrepreneurs with multiple exits. To deliver on that mission, we operate the world’s first decentralized talent network, powered by BTRST, our native cryptocurrency token. We’ve already laid some exceptional foundations for growth; In 3 years, we’ve grown our marketplace revenue by 50X. We have 500+ customers including Nestle, Nike, Porsche, Deloitte, Twitter, & Coursera to name a few. We’ve raised $142M in funding from leading Silicon Valley investors including Coatue, Tiger Global, Coinbase Ventures, IDEO, Blockchange, Uprising, True Ventures, Homebrew, ACME + more.
About the role:
As an AI Engineer, you will be at the forefront of enhancing user experience by building an intelligent chatbot that interacts with clients in natural language. Leveraging our existing job posting systems and talent recommendation algorithms, you will play a crucial role in creating a user-friendly and efficient interface for clients to effortlessly manage their recruitment needs. Contract Duration is 3 months, with the possibility of extension based on project needs and performance.
Your Responsibilities
- Develop and deploy an intelligent chatbot that guides users through the job posting and talent review processes using natural language interaction.
- Craft a seamless conversation flow that anticipates user queries, ensuring a natural and intuitive interaction throughout the entire process.
- Integrate the chatbot seamlessly with our existing job posting systems and talent matching algorithms, utilizing API calls to interface with product applications.
- Implement Natural Language Processing (NLP) techniques and Large Language Model (LLM) to enable the chatbot to understand and respond to user inputs in plain English.
- Conduct thorough testing to identify and address any issues or improvements in the chatbot’s functionality. Optimize the chatbot for performance and user satisfaction.
- Collaborate with cross-functional teams, including engineers and UX designers, to ensure seamless integration and a cohesive user experience.
Generative AI Engineer
Posted 10 days ago
Job Viewed
Job Description
Who we are
Lodgify is not just any startup, we’re a fast-growing company leading the vacation rental industry with our innovative software. And we raised $30M to do exactly that!
Our platform empowers property owners and managers to efficiently manage and market their rental businesses online. We are an international team of more than 300 people and over 50 different nationalities, founded in the heart of sunny Barcelona.
Role Overview
We are looking for a talented AI Python Engineer with previous experience in applying RAG in production and ready to tackle a wide range of challenges. If you are excited by the prospects of Generative AI (LLMs), ML models and are eager to use them in production to solve real problems, this is the position for you.
You will be part of our first squad fully dedicated to leveraging AI in the company and you will be reporting directly to our Chief AI Officer.
If you want to help us make vacation rental work easier with AI, come join us!
How will you make an impact?
- Write production code that meets our company’s high-quality and maintainability standards.
- Select the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) model depending on the use case.
- Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones.
- Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case.
- Implement RAG in production and fine-tune each aspect of the process to keep improving its metrics.
- Work collaboratively with other squads and technical chapters.
- You will be part of a mission-driven Agile team (Scrum/Kanban).
What makes you a great fit?
- You have 5+ years of professional experience writing production-level code in Python.
- You have experience using Generative AI, RAG, and vector databases in production.
- Experience with LLM frameworks (i.e., LangChain, LlamaIndex, Haystack) and prompt engineering techniques.
- You keep yourself updated on Generative AI and ML technologies and you’re eager to use them to solve real problems.
- You’re well versed with best practices in software development, including version control, testing, and continuous integration.
- Have a keen interest in the fundamental knowledge of Data Science.
- Proactive attitude to challenge assumptions and come up with solutions.
- You are a collaborative learner and team player who strives for impact.
How can you earn extra bonus points?
- Experience with Machine Learning Operations (MLOps) (i.e., Arize, Weights & Biases, MLFlow, Neptune).
- End-to-end experience in training, evaluating, testing, and deploying ML solutions in production.
- Experience with the Hugging Face libraries.
Why you’ll love us:
You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives, and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
What’s in it for you?*
- The freedom to work from home any day that works for you.
- Enjoy 25 working days of paid vacation and Jornada Intensiva in August.
- Top-notch Cigna health insurance (includes travel insurance, dental plan, psychologist and we cover pre-existing conditions too).
- Save on meals! Enjoy a monthly allowance of 150€ and, in addition, a Flexible Remuneration plan with up to 70€. Plus, enjoy a 50% discount on Ametller’s prepared dishes to level up your mealtime!
- Flexible Remuneration options for your transportation needs.
- ️Elevate your workspace. We provide a home-office setup allowance to ensure you have everything you need for a productive and comfortable work environment.
- Free Spanish classes .
- Boost your earning potential with our referral program that offers paid compensation.
- Fuel your day with a daily office breakfast buffet and join our monthly events like football tournaments, wine tastings, hikes, kayaking, and more!
- Work in a dynamic environment with offices fully equipped for fun with ping pong, foosball, surrounded by an international team of +60 nationalities.
*Benefits offered may differ based on the type of contract that is issued.
So, what are you waiting for? Apply now!
All applications and CVs must be submitted in English.
#J-18808-LjbffrGenerative AI Engineer
Posted 10 days ago
Job Viewed
Job Description
Who we are
Lodgify is not just any startup, we’re a fast-growing company leading the vacation rental industry with our innovative software. And we raised $30M to do exactly that!
Our platform empowers property owners and managers to efficiently manage and market their rental businesses online. We are an international team of more than 300 people and over 50 different nationalities, founded in the heart of sunny Barcelona.
Role Overview
We are looking for a talented AI Python Engineer with previous experience in applying RAG in production and ready to tackle a wide range of challenges. If you are excited by the prospects of Generative AI (LLMs), ML models and are eager to use them in production to solve real problems, this is the position for you.
You will be part of our first squad fully dedicated to leveraging AI in the company and you will be reporting directly to our Chief AI Officer.
If you want to help us make vacation rental work easier with AI, come join us!
How will you make an impact?
- Write production code that meets our company’s high-quality and maintainability standards.
- Select the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) model depending on the use case.
- Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones.
- Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case.
- Implement RAG in production and fine-tune each aspect of the process to keep improving its metrics.
- Work collaboratively with other squads and technical chapters.
- You will be part of a mission-driven Agile team (Scrum/Kanban).
What makes you a great fit?
- You have 5+ years of professional experience writing production-level code in Python.
- You have experience using Generative AI, RAG, and vector databases in production.
- Experience with LLM frameworks (i.e., LangChain, LlamaIndex, Haystack) and prompt engineering techniques.
- You keep yourself updated on Generative AI and ML technologies and you’re eager to use them to solve real problems.
- You’re well versed with best practices in software development, including version control, testing, and continuous integration.
- Have a keen interest in the fundamental knowledge of Data Science.
- Proactive attitude to challenge assumptions and come up with solutions.
- You are a collaborative learner and team player who strives for impact.
How can you earn extra bonus points?
- Experience with Machine Learning Operations (MLOps) (i.e., Arize, Weights & Biases, MLFlow, Neptune).
- End-to-end experience in training, evaluating, testing, and deploying ML solutions in production.
- Experience with the Hugging Face libraries.
Why you’ll love us:
You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives, and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
What’s in it for you?*
- The freedom to work from home any day that works for you.
- Enjoy 25 working days of paid vacation and Jornada Intensiva in August.
- Top-notch Cigna health insurance (includes travel insurance, dental plan, psychologist and we cover pre-existing conditions too).
- Save on meals! Enjoy a monthly allowance of 150€ and, in addition, a Flexible Remuneration plan with up to 70€. Plus, enjoy a 50% discount on Ametller’s prepared dishes to level up your mealtime!
- Flexible Remuneration options for your transportation needs.
- ️Elevate your workspace. We provide a home-office setup allowance to ensure you have everything you need for a productive and comfortable work environment.
- Free Spanish classes .
- Boost your earning potential with our referral program that offers paid compensation.
- Fuel your day with a daily office breakfast buffet and join our monthly events like football tournaments, wine tastings, hikes, kayaking, and more!
- Work in a dynamic environment with offices fully equipped for fun with ping pong, foosball, surrounded by an international team of +60 nationalities.
*Benefits offered may differ based on the type of contract that is issued.
So, what are you waiting for? Apply now!
All applications and CVs must be submitted in English.
#J-18808-LjbffrGenerative AI Engineer
Posted 10 days ago
Job Viewed
Job Description
Who we are
Lodgify is not just any startup, we’re a fast-growing company leading the vacation rental industry with our innovative software. And we raised $30M to do exactly that!
Our platform empowers property owners and managers to efficiently manage and market their rental businesses online. We are an international team of more than 300 people and over 50 different nationalities, founded in the heart of sunny Barcelona.
Role Overview
We are looking for a talented AI Python Engineer with previous experience in applying RAG in production and ready to tackle a wide range of challenges. If you are excited by the prospects of Generative AI (LLMs), ML models and are eager to use them in production to solve real problems, this is the position for you.
You will be part of our first squad fully dedicated to leveraging AI in the company and you will be reporting directly to our Chief AI Officer.
If you want to help us make vacation rental work easier with AI, come join us!
How will you make an impact?
- Write production code that meets our company’s high-quality and maintainability standards.
- Select the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) model depending on the use case.
- Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones.
- Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case.
- Implement RAG in production and fine-tune each aspect of the process to keep improving its metrics.
- Work collaboratively with other squads and technical chapters.
- You will be part of a mission-driven Agile team (Scrum/Kanban).
What makes you a great fit?
- You have 5+ years of professional experience writing production-level code in Python.
- You have experience using Generative AI, RAG, and vector databases in production.
- Experience with LLM frameworks (i.e., LangChain, LlamaIndex, Haystack) and prompt engineering techniques.
- You keep yourself updated on Generative AI and ML technologies and you’re eager to use them to solve real problems.
- You’re well versed with best practices in software development, including version control, testing, and continuous integration.
- Have a keen interest in the fundamental knowledge of Data Science.
- Proactive attitude to challenge assumptions and come up with solutions.
- You are a collaborative learner and team player who strives for impact.
How can you earn extra bonus points?
- Experience with Machine Learning Operations (MLOps) (i.e., Arize, Weights & Biases, MLFlow, Neptune).
- End-to-end experience in training, evaluating, testing, and deploying ML solutions in production.
- Experience with the Hugging Face libraries.
Why you’ll love us:
You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives, and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
What’s in it for you?*
- The freedom to work from home any day that works for you.
- Enjoy 25 working days of paid vacation and Jornada Intensiva in August.
- Top-notch Cigna health insurance (includes travel insurance, dental plan, psychologist and we cover pre-existing conditions too).
- Save on meals! Enjoy a monthly allowance of 150€ and, in addition, a Flexible Remuneration plan with up to 70€. Plus, enjoy a 50% discount on Ametller’s prepared dishes to level up your mealtime!
- Flexible Remuneration options for your transportation needs.
- ️Elevate your workspace. We provide a home-office setup allowance to ensure you have everything you need for a productive and comfortable work environment.
- Free Spanish classes .
- Boost your earning potential with our referral program that offers paid compensation.
- Fuel your day with a daily office breakfast buffet and join our monthly events like football tournaments, wine tastings, hikes, kayaking, and more!
- Work in a dynamic environment with offices fully equipped for fun with ping pong, foosball, surrounded by an international team of +60 nationalities.
*Benefits offered may differ based on the type of contract that is issued.
So, what are you waiting for? Apply now!
All applications and CVs must be submitted in English.
#J-18808-LjbffrGenerative AI Engineer
Posted 10 days ago
Job Viewed
Job Description
Who we are
Lodgify is not just any startup, we’re a fast-growing company leading the vacation rental industry with our innovative software. And we raised $30M to do exactly that!
Our platform empowers property owners and managers to efficiently manage and market their rental businesses online. We are an international team of more than 300 people and over 50 different nationalities, founded in the heart of sunny Barcelona.
Role Overview
We are looking for a talented AI Python Engineer with previous experience in applying RAG in production and ready to tackle a wide range of challenges. If you are excited by the prospects of Generative AI (LLMs), ML models and are eager to use them in production to solve real problems, this is the position for you.
You will be part of our first squad fully dedicated to leveraging AI in the company and you will be reporting directly to our Chief AI Officer.
If you want to help us make vacation rental work easier with AI, come join us!
How will you make an impact?
- Write production code that meets our company’s high-quality and maintainability standards.
- Select the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) model depending on the use case.
- Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones.
- Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case.
- Implement RAG in production and fine-tune each aspect of the process to keep improving its metrics.
- Work collaboratively with other squads and technical chapters.
- You will be part of a mission-driven Agile team (Scrum/Kanban).
What makes you a great fit?
- You have 5+ years of professional experience writing production-level code in Python.
- You have experience using Generative AI, RAG, and vector databases in production.
- Experience with LLM frameworks (i.e., LangChain, LlamaIndex, Haystack) and prompt engineering techniques.
- You keep yourself updated on Generative AI and ML technologies and you’re eager to use them to solve real problems.
- You’re well versed with best practices in software development, including version control, testing, and continuous integration.
- Have a keen interest in the fundamental knowledge of Data Science.
- Proactive attitude to challenge assumptions and come up with solutions.
- You are a collaborative learner and team player who strives for impact.
How can you earn extra bonus points?
- Experience with Machine Learning Operations (MLOps) (i.e., Arize, Weights & Biases, MLFlow, Neptune).
- End-to-end experience in training, evaluating, testing, and deploying ML solutions in production.
- Experience with the Hugging Face libraries.
Why you’ll love us:
You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives, and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
What’s in it for you?*
- The freedom to work from home any day that works for you.
- Enjoy 25 working days of paid vacation and Jornada Intensiva in August.
- Top-notch Cigna health insurance (includes travel insurance, dental plan, psychologist and we cover pre-existing conditions too).
- Save on meals! Enjoy a monthly allowance of 150€ and, in addition, a Flexible Remuneration plan with up to 70€. Plus, enjoy a 50% discount on Ametller’s prepared dishes to level up your mealtime!
- Flexible Remuneration options for your transportation needs.
- ️Elevate your workspace. We provide a home-office setup allowance to ensure you have everything you need for a productive and comfortable work environment.
- Free Spanish classes .
- Boost your earning potential with our referral program that offers paid compensation.
- Fuel your day with a daily office breakfast buffet and join our monthly events like football tournaments, wine tastings, hikes, kayaking, and more!
- Work in a dynamic environment with offices fully equipped for fun with ping pong, foosball, surrounded by an international team of +60 nationalities.
*Benefits offered may differ based on the type of contract that is issued.
So, what are you waiting for? Apply now!
All applications and CVs must be submitted in English.
#J-18808-LjbffrBe The First To Know
About the latest Ai engineer Jobs in South Africa !
Generative AI Engineer
Posted 10 days ago
Job Viewed
Job Description
Who we are
Lodgify is not just any startup, we’re a fast-growing company leading the vacation rental industry with our innovative software. And we raised $30M to do exactly that!
Our platform empowers property owners and managers to efficiently manage and market their rental businesses online. We are an international team of more than 300 people and over 50 different nationalities, founded in the heart of sunny Barcelona.
Role Overview
We are looking for a talented AI Python Engineer with previous experience in applying RAG in production and ready to tackle a wide range of challenges. If you are excited by the prospects of Generative AI (LLMs), ML models and are eager to use them in production to solve real problems, this is the position for you.
You will be part of our first squad fully dedicated to leveraging AI in the company and you will be reporting directly to our Chief AI Officer.
If you want to help us make vacation rental work easier with AI, come join us!
How will you make an impact?
- Write production code that meets our company’s high-quality and maintainability standards.
- Select the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) model depending on the use case.
- Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones.
- Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case.
- Implement RAG in production and fine-tune each aspect of the process to keep improving its metrics.
- Work collaboratively with other squads and technical chapters.
- You will be part of a mission-driven Agile team (Scrum/Kanban).
What makes you a great fit?
- You have 5+ years of professional experience writing production-level code in Python.
- You have experience using Generative AI, RAG, and vector databases in production.
- Experience with LLM frameworks (i.e., LangChain, LlamaIndex, Haystack) and prompt engineering techniques.
- You keep yourself updated on Generative AI and ML technologies and you’re eager to use them to solve real problems.
- You’re well versed with best practices in software development, including version control, testing, and continuous integration.
- Have a keen interest in the fundamental knowledge of Data Science.
- Proactive attitude to challenge assumptions and come up with solutions.
- You are a collaborative learner and team player who strives for impact.
How can you earn extra bonus points?
- Experience with Machine Learning Operations (MLOps) (i.e., Arize, Weights & Biases, MLFlow, Neptune).
- End-to-end experience in training, evaluating, testing, and deploying ML solutions in production.
- Experience with the Hugging Face libraries.
Why you’ll love us:
You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives, and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
What’s in it for you?*
- The freedom to work from home any day that works for you.
- Enjoy 25 working days of paid vacation and Jornada Intensiva in August.
- Top-notch Cigna health insurance (includes travel insurance, dental plan, psychologist and we cover pre-existing conditions too).
- Save on meals! Enjoy a monthly allowance of 150€ and, in addition, a Flexible Remuneration plan with up to 70€. Plus, enjoy a 50% discount on Ametller’s prepared dishes to level up your mealtime!
- Flexible Remuneration options for your transportation needs.
- ️Elevate your workspace. We provide a home-office setup allowance to ensure you have everything you need for a productive and comfortable work environment.
- Free Spanish classes .
- Boost your earning potential with our referral program that offers paid compensation.
- Fuel your day with a daily office breakfast buffet and join our monthly events like football tournaments, wine tastings, hikes, kayaking, and more!
- Work in a dynamic environment with offices fully equipped for fun with ping pong, foosball, surrounded by an international team of +60 nationalities.
*Benefits offered may differ based on the type of contract that is issued.
So, what are you waiting for? Apply now!
All applications and CVs must be submitted in English.
#J-18808-LjbffrGenerative AI Engineer
Posted 10 days ago
Job Viewed
Job Description
Who we are
Lodgify is not just any startup, we’re a fast-growing company leading the vacation rental industry with our innovative software. And we raised $30M to do exactly that!
Our platform empowers property owners and managers to efficiently manage and market their rental businesses online. We are an international team of more than 300 people and over 50 different nationalities, founded in the heart of sunny Barcelona.
Role Overview
We are looking for a talented AI Python Engineer with previous experience in applying RAG in production and ready to tackle a wide range of challenges. If you are excited by the prospects of Generative AI (LLMs), ML models and are eager to use them in production to solve real problems, this is the position for you.
You will be part of our first squad fully dedicated to leveraging AI in the company and you will be reporting directly to our Chief AI Officer.
If you want to help us make vacation rental work easier with AI, come join us!
How will you make an impact?
- Write production code that meets our company’s high-quality and maintainability standards.
- Select the most appropriate Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) model depending on the use case.
- Use your prompt engineering and prompt chaining skills to create new prompts and keep improving on the existing ones.
- Improve our LLMOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case.
- Implement RAG in production and fine-tune each aspect of the process to keep improving its metrics.
- Work collaboratively with other squads and technical chapters.
- You will be part of a mission-driven Agile team (Scrum/Kanban).
What makes you a great fit?
- You have 5+ years of professional experience writing production-level code in Python.
- You have experience using Generative AI, RAG, and vector databases in production.
- Experience with LLM frameworks (i.e., LangChain, LlamaIndex, Haystack) and prompt engineering techniques.
- You keep yourself updated on Generative AI and ML technologies and you’re eager to use them to solve real problems.
- You’re well versed with best practices in software development, including version control, testing, and continuous integration.
- Have a keen interest in the fundamental knowledge of Data Science.
- Proactive attitude to challenge assumptions and come up with solutions.
- You are a collaborative learner and team player who strives for impact.
How can you earn extra bonus points?
- Experience with Machine Learning Operations (MLOps) (i.e., Arize, Weights & Biases, MLFlow, Neptune).
- End-to-end experience in training, evaluating, testing, and deploying ML solutions in production.
- Experience with the Hugging Face libraries.
Why you’ll love us:
You’ll be part of a growing, dynamic company with a truly international team. At Lodgify, we are full of contagious energy, hard work, and passion for what we do. We celebrate diversity and are proud to acknowledge a variety of backgrounds, perspectives, and skills in our team; committed to creating a workplace where everyone is heard and feels a sense of belonging.
What’s in it for you?*
- The freedom to work from home any day that works for you.
- Enjoy 25 working days of paid vacation and Jornada Intensiva in August.
- Top-notch Cigna health insurance (includes travel insurance, dental plan, psychologist and we cover pre-existing conditions too).
- Save on meals! Enjoy a monthly allowance of 150€ and, in addition, a Flexible Remuneration plan with up to 70€. Plus, enjoy a 50% discount on Ametller’s prepared dishes to level up your mealtime!
- Flexible Remuneration options for your transportation needs.
- ️Elevate your workspace. We provide a home-office setup allowance to ensure you have everything you need for a productive and comfortable work environment.
- Free Spanish classes .
- Boost your earning potential with our referral program that offers paid compensation.
- Fuel your day with a daily office breakfast buffet and join our monthly events like football tournaments, wine tastings, hikes, kayaking, and more!
- Work in a dynamic environment with offices fully equipped for fun with ping pong, foosball, surrounded by an international team of +60 nationalities.
*Benefits offered may differ based on the type of contract that is issued.
So, what are you waiting for? Apply now!
All applications and CVs must be submitted in English.
#J-18808-LjbffrAI Engineer (Nodejs)
Posted 10 days ago
Job Viewed
Job Description
Overview
A growing technology-driven company in the marketing and advertising industry is seeking a talented and innovative AI Engineer to join their team. The position is permanent and offering a full remote working structure within South Africa. The company specialises in creating high-impact marketing experiences for global brands across platforms like Facebook, Instagram, TikTok, and more. As they embrace generative AI as a key development strategy, they need someone who is passionate about the marketing industry, has a strong engineering mindset, and is eager to contribute innovative ideas. The role involves working throughout the software development lifecycle, from architecture and planning to development and testing, with a focus on building scalable, award-winning solutions.
You will lead the integration of artificial intelligence into their products not as a support tool, but as the core method of development and innovation. You will build intelligent tools, interfaces, software and automations using generative AI models with Nodejs. You will be instrumental in bringing their AI ambitions to life across interactive experiences and SaaS platforms.
Responsibilities- Build AI-first features and internal tools using APIs from OpenAI
- Use LLMs and retrieval-augmented generation (RAG) as core building blocks of backend architecture
- Build with and around Nodejs to enable real-time orchestration of AI features
- Prototype and productionise new generative experiences, e.g., automated moderation, personalised user flows, campaign concept tools
- Work closely with the design, product, and sales enablement teams to deliver AI-native products that scale across global markets
- Stay up to date with the AI ecosystem (e.g. open models, CDNs for inference, emerging libraries) and actively test/integrate where impactful
- Develop safe and effective prompt engineering systems, structured outputs, and feedback loops to optimise model behaviour
- A portfolio or examples of work where AI was core to the product or workflow
- Hands-on experience integrating AI APIs (OpenAI, Gemini, Claude, etc.) into working systems
- A strong foundation in Javascript & Nodejs, with a focus on scalable, event-driven APIs
- Comfort with AI concepts: embeddings, prompt engineering, function calling, fine-tuning
- Motivation to help define their internal AI engineering culture
- Nice to have:
- Building interactive, AI-driven frontend experiences.
- Experience with vector databases, LLM agents, or RAG-based systems.
- Working knowledge of data protection frameworks (POPIA, GDPR) in AI contexts
- Entry level
- Full-time
- Engineering and Information Technology