1,036 AI & Emerging Technologies jobs in South Africa

Data & AI Architect - Digital Natives (EMEA)

Join to apply for the Data & AI Architect - Digital Natives (EMEA) role at Microsoft.

We are looking for a highly motivated Cloud and AI Solution Architect (CSA) with an entrepreneurial spirit to join our Digital Natives CSU team in EMEA. This is a unique opportunity to be at the frontline of the AI revolution, partnering with the most innovative Digital Native teams across the Middle East and Africa to design and scale Data and AI platforms on Azure that form the foundation for the next generation of data-enabled, agentic experiences.

In this regional role, you will focus on both growing existing Digital Natives and recruiting new ones, helping them modernize and scale their databases, build robust data estates, and unlock advanced analytics and AI scenarios. As a trusted advisor, you will guide founders and technical leaders on how to transform raw data into intelligence, designing platforms that not only power today’s applications but also enable self-learning, adaptive AI systems. You will collaborate closely with international product groups and work alongside other Cloud Solution Architects, Solution Engineers, and Customer Success Account Managers.

This role offers an environment of continuous learning, where you will deepen your expertise in data engineering, cloud-scale databases, machine learning, and generative AI, while broadening your impact across the Azure ecosystem. The pace is fast, the work is stimulating, and the opportunity to shape how Digital Natives in the region build data-driven, AI-first businesses is significant.

• Guide Digital Native customers through their data platform modernization journey to Azure, focusing on high-scale solutions with CosmosDB and AI-first data platforms such as Microsoft Fabric. Highlight opportunities to accelerate innovation and become AI-ready.
• Drive adoption of generative AI by helping customers build innovative, safe, and performant AI-based solutions grounded in a solid foundation of data and infrastructure.
• Capture Analytics market share by positioning Microsoft Fabric and Azure Databricks as the platforms of choice for modern analytics workloads and advanced customer use cases.
• Understand the customer’s applications portfolio, IT and business priorities, and success measures to design robust, scalable, and secure architectures (including third-party integrations) using Azure PaaS, DevOps, and advanced application development practices.
• Apply deep technical expertise and customer insights to shape modernization roadmaps, architecting solutions that deliver business value while ensuring technical feasibility and successful deployments.
• Lead Architectural Design Sessions with Digital Native teams to co-create implementation plans that align business goals with technical strategy, building consensus and momentum toward production.
• Partner closely with other Cloud Solution Architects and Microsoft stakeholders to design complex, end-to-end enterprise-grade solutions on Azure, ensuring adherence to the Well-Architected Framework.
• Build trusted, long-term relationships with customer decision-makers, enabling them to become cloud and AI advocates within their organizations.
• Act as the Voice of the Customer, sharing feedback and best practices, and partnering with Engineering to remove adoption blockers.
• Troubleshoot technical challenges to demonstrate the value of Azure’s data and AI services, unlocking new innovation opportunities.
• Assess customer cloud readiness and create structured learning plans, leveraging partners to accelerate knowledge transfer and adoption.
• Continuously deepen your technical skills and market knowledge, while sharing insights with the wider technical community.
• Be an Azure Data & AI evangelist in the Digital Native ecosystem — building developer communities, leading workshops, and showcasing customer success stories.

• 5-10 years experience in technologies relevant to this role.
• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND relevant experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND relevant experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND Experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• Experience working in a customer-facing role (internal and/or external).

Experience Leading Technical Projects, Teams, Or Functions.

Technical Certification in Cloud (e.g., Azure, AWS, Google, security certifications).

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Not Applicable

Full-time

Engineering and Information Technology

Software Development

Referrals increase your chances of interviewing at Microsoft by 2x

Get notified about new Data Architect jobs in KwaZulu-Natal, South Africa .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Scrums.com (formerly SovTech) believes the future of software lies in the talent, innovation, and creativity found on the African continent. For over a decade, we have been pioneering world-class software development for a global audience. We are the leading custom software development company from Africa that, like any great tech company, started in a garage. Scrums.com has grown to more than 350 AI-powered software engineering experts, building world-class platforms for growing businesses across four cities on three continents.

Looking ahead, we remain committed to growing Africa's tech ecosystems. Africa is home to the world's youngest population, with over 50% of Africans under the age of 25. Recent estimates indicate there are over 700,000 professional software developers across Africa today. That number is projected to double by 2025. We believe in the future of African tech talent and the impact it will have on scaling global companies.

Trusted by 400+ companies, Scrums.com helps businesses scale with our cloud-based engineering subscription platform, offering consistent, cost-effective AI-powered experts, teams, and reliable developer analytics.

Our culture is underpinned by 8 core values.

Earth's leading software company from Africa—that's where we're going.

Be part of a dynamic, people-first team that’s showcasing and advancing Africa’s tech landscape on the global scale. At Scrums.com, we celebrate your individuality, empower your decision-making, and create meaningful experiences. Together, we’re driving innovation and building exceptional teams. Take a look at some of the highlights:

• At Scrums.com, we champion an empowered workplace where you shape the culture, influence decisions on tech stacks, and take charge of user testing—all while working from wherever you thrive best across our interconnected Guilds.
• Our distributed teams span South Africa, Nigeria, Kenya, Zimbabwe, and other parts of the continent, showcasing the diversity and brilliance of African talent.

• Annual Foos-Fest : Showcase your skills at our Foosball Festival and take home quirky, sought-after awards.
• AI-Powered Hackathons : Collaborate with your team to create innovative, market-ready products in just 24 hours—all while enjoying live music and family-friendly fun.
• Year-End Celebrations : Reflect and connect at our year-end events, a decade-old tradition we continue to cherish.
• Popcorn Fridays, Dev Chats, and Braais : Bond with colleagues over insightful discussions and sizzling good vibes.
• Fluid Clubs : Join like-minded peers in activities like hiking, running, and more to foster shared interests beyond work.
• Weekly All-Hands : Stay inspired and in the loop with our weekly All-Hands sessions that bring us together as one team.
• Explore Week : Our annual tradition encourages you to work from anywhere around the globe for one exciting week—freedom meets inspiration!

• Stacos (our company currency) : Reward and recognise your peers with Stacos and exchange them for cool vouchers to celebrate accomplishments big and small.
• Commission Incentives : Unlock attractive rewards for successful business development leads and employee referrals.

• Internal AI Platforms : We empower our teams with access to both closed and open source LLMs that make work easier and empower your professional growth. We love AI!
• High-Performance Culture : Stay aligned and on track with OKRs (Objectives and Key Results) and structured annual reviews.
• Personalized Mentorship : Receive dedicated guidance from leadership and the Talent Success Team through one-on-one sessions and quarterly check-ins tailored to your career aspirations.

• Our teams embrace cutting-edge AI platforms, agents and tools, creating smarter workflows and accelerating career development with AI.
• OpenAI, Anthropic, Llama - we use them all so choose what suits you best!
• You don’t need your own licenses - we cover the costs and have our own internal AI platforms that gives you access to them all in a secure environment.

• Discovery Medical Aid : Prioritizing your health with the best care.
• Half-Day Birthday Leave : Celebrate your special day with an afternoon off!
• Family responsibility & Parental Benefits : Providing full support for a meaningful work-life balance.

*Please note: Benefits may vary depending on employment type

Join us and be part of a dynamic, supportive team that’s making waves across Africa.

• 5 years of experience writing production-grade Python , including API development, system integration, and backend engineering
• Previous exposure to generative AI , prompt engineering , or integrating LLMs into real-world applications
• Worked in live environments , debugging, optimizing, and shipping user-facing features powered by AI

• Python — clean, efficient, testable code across multiple projects
• API development (FastAPI, Flask, or similar), including testing and documentation
• Comfortable with production deployment pipelines , CI/CD, containerization (Docker), and version control (Git)
• Experience working with AI models (OpenAI, LLaMA, Claude, etc.) via API or SDK
• Understands key LLM concepts: context window limits , token budgets , prompt chaining , summarization , and latency trade-offs
• Familiar with prompt evaluation methods, A/B testing , and iterative improvement based on data
• Bonus: Experience with tools like LangChain, LlamaIndex, or prompt tuning frameworks
• Familiar with basic monitoring/logging practices for Python-based services

• Sharp, reliable Python developer — takes pride in quality and maintainability
• Curious and experimental — especially around how prompts affect outputs and UX
• User-focused mindset — interested in how people interact with AI and how prompts drive results
• Comfortable owning tasks end-to-end, from ideation to live testing
• Proactive and dependable — identifies bugs, inefficiencies, or limitations before they hit users
• Communicates clearly with both engineers and product teams

• Built and shipped prompt-engineered features that improved UX, accuracy, or engagement
• Delivered Python-based services that reliably interfaced with LLMs in production
• Optimized prompt strategies through real-world testing and iteration (e.g., A/B tests, user feedback loops)

Helped bridge the gap between AI capabilities and product value , using clean code and clear thinking

Overview

Leidos is actively hiring for an Exploitation Specialist/Data Scientist (Senior) to join our team in St. Louis, MO.

Job Summary:

This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences.

• Provide embedded GEOINT/Data Science expertise to assure continuity of Precise Imagery data provision to the customer.
• Deliver service solutions that integrate best practices to modernize current practices.
• Perform data investigations on complex problems using applied statistics, building algorithms and collaborating with domain expertise to convey complicated realities to non-technical audience.
• Provide data visualization of disparate sources via dashboards that can be understood by non-technical audiences.
• Coordinate utilization and sustainment of the new database management processes and workflows with database developers and analysts.
• Ensure new workflows have ability to be integrated seamlessly with our modernized database applications and enterprise-level APIs.
• Data modeling and simulation of production and change detection data of in-house created data.
• Data visualization of production metrics of in-house created data.
• Statistical analysis of in-house created data.
• Scripting and coding to include converting Visual/Basic Maplnfo scripts to Python.
• Implementing enterprise database management processes.
• Automating repetitive data management tasks.

• Bachelor’s degree in related field
• Typically requires a BA degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience.
• A combination of 9 years of demonstrated experience in any three of the following tools/methodologies:
  • Python
  • ArcGIS, ArcSDE, ArcPro
  • Quantum GIS (QGIS)
  • PostgreSQL, Postgis, PgAdmin
  • Application programming interfaces (APIs)
  • Using applied statistics
  • Building algorithms
• Understanding and familiarity with the following tools:
  • Maplnfo, MapBasic

• Active TS/SCI clearance with ability to be approved to Poly

• Experience with workflow management systems, such as Flowable

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”

Original Posting: August 4, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range: Pay Range $89,700.00 - $162,150.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

STA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely.

PLEASE NOTE THE FOLLOWING:

• Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time). NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.
• Work Environment: This is a fully remote working role.
• Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
• Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.

• Required Skills: Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models

• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Actuarial experience would be an advantage

• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

If you are not contacted within 14 working days for this role, please consider your application unsuccessful.

STA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely.

PLEASE NOTE THE FOLLOWING:

• Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time). NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.
• Work Environment: This is a fully remote working role.
• Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
• Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.

• Required Skills: Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models

• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Actuarial experience would be an advantage

• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

If you are not contacted within 14 working days for this role, please consider your application unsuccessful.

STA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely.

PLEASE NOTE THE FOLLOWING:

• Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time). NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.
• Work Environment: This is a fully remote working role.
• Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
• Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.

• Required Skills: Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models

• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Actuarial experience would be an advantage

• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

If you are not contacted within 14 working days for this role, please consider your application unsuccessful.

STA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely.

PLEASE NOTE THE FOLLOWING:

• Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time). NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.
• Work Environment: This is a fully remote working role.
• Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
• Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.

• Required Skills: Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models

• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Actuarial experience would be an advantage

• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

If you are not contacted within 14 working days for this role, please consider your application unsuccessful.

STA Personnel Solutions South Africa - we are a global Business Process Outsourcing (BPO) company, partnering with a USA Client in the Healthcare Industry and are in search of a Machine Learning Developer / Engineer to join a rapidly expanding team, working remotely.

PLEASE NOTE THE FOLLOWING:

• Working Hours: This role requires you to work USA hours, Mon - Fri, from 9:00am to 6:00pm EST time (15:30pm to midnight South African time). NOTE: These hours are subject to change depending on daylight savings and/or the operational requirements of the company.
• Work Environment: This is a fully remote working role.
• Internet Requirements: A fixed fibre line with a minimum speed of 25 Mbps (upload & download) and the ability to support a wired Ethernet connection is mandatory. Applicants without a fixed fibre line cannot be considered.
• Power Backup: A reliable power backup solution is required to manage load shedding and power outages. Applicants without a power backup cannot be considered.

• Required Skills: Strong problem-solving and coding skills, more than just a programmer
• Experience building machine learning models

• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• 1-2 years of relevant experience
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Actuarial experience would be an advantage

• Background as an engineer or data scientist, ideally with healthcare experience
• Able to discuss specific models built, methodologies used, and feature engineering approaches

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance
• Ensure models are scalable and maintainable
• Perform detailed data analysis to extract meaningful insights
• Conduct feature engineering to improve model accuracy
• Validate and clean data to ensure high-quality datasets for model training
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Collaborate with team members to integrate models into existing systems and workflows
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh
• Present data-driven insights through interactive and user-friendly dashboards
• Provide regular reports on model performance and business impact
• Apply machine learning techniques to healthcare-specific problems

If you are not contacted within 14 working days for this role, please consider your application unsuccessful.

At Scrums.com (formerly SovTech), we believe the future of software lies in the talent, innovation, and creativity found on the African continent. For over a decade, we have been pioneering world-class software development for a global audience. We are the leading custom software development company from Africa that, like any great tech company, was founded in a garage. Scrums.com has now grown to more than 350 of the best AI-powered software engineering experts, building world-class platforms for growing businesses across four cities on three continents.

Looking ahead, we remain committed to growing Africa's tech ecosystems. Africa is home to the world's youngest population, with over 50% of Africans under the age of 25. Recent estimates indicate there are over 700,000 professional software developers across Africa today. That number is projected to double by 2025. We believe in the future of African tech talent and the impact it will have on scaling global companies.

Be part of a dynamic, people-first team that’s showcasing and advancing Africa’s tech landscape on the global scale. At Scrums.com, we celebrate your individuality, empower your decision-making, and create meaningful experiences. Together, we’re driving innovation and building exceptional teams.

At Scrums.com, we champion an empowered workplace where you shape the culture, influence decisions on tech stacks, and take charge of user testing—all while working from wherever you thrive best across our interconnected Guilds.

Our distributed teams span South Africa, Nigeria, Kenya, Zimbabwe, and other parts of the continent, showcasing the diversity and brilliance of African talent.

• Annual Foos-Fest : Showcase your skills at our legendary Foosball Festival and take home quirky, sought-after awards.
• AI-Powered Hackathons : Collaborate with your team to create innovative, market-ready products in just 24 hours—all while enjoying live music and family-friendly fun.
• Year-End Celebrations : Reflect and connect at our unforgettable year-end events, a decade-old tradition we continue to cherish.
• Popcorn Fridays, Dev Chats, and Braais : Bond with colleagues over insightful discussions and sizzling good vibes.
• Fluid Clubs : Join like-minded peers in activities like hiking, running, and more to foster shared interests beyond work.
• Weekly All-Hands : Stay inspired and in the loop with our weekly All-Hands sessions that bring us together as one team.
• Explore Week : Our annual tradition encourages you to work from anywhere around the globe for one exciting week—freedom meets inspiration!
• Stacos (our company currency): Reward and recognise your peers with Stacos and exchange them for cool vouchers to celebrate accomplishments big and small.
• Commission Incentives : Unlock attractive rewards for successful business development leads and employee referrals.
• Continued Career Growth & Support
• Internal AI Platforms : We empower our teams with access to both closed and open source LLMs that make work easier and empower your professional growth. We love AI!
• High-Performance Culture : Stay aligned and on track with OKRs (Objectives and Key Results) and structured annual reviews.
• Personalized Mentorship : Receive dedicated guidance from leadership and the Talent Success Team through one-on-one sessions and quarterly check-ins tailored to your career aspirations.
• Our teams are powered by AI— Transforming How We Work : Our teams embrace cutting-edge AI platforms, agents and tools, creating smarter workflows and accelerating career development with AI.
• OpenAI , Anthropic , Llama - we use them all so choose what suits you best!
• You don’t need your own licenses - we cover the costs and have our own internal AI platforms that give you access to them all in a secure environment.

• Discovery Medical Aid : Prioritizing your health with the best care.
• Half-Day Birthday Leave : Celebrate your special day with an afternoon off!
• Family responsibility & Parental Benefits : Providing full support for a meaningful work-life balance.
• Note: Benefits may vary depending on employment type

Join us and be part of a dynamic, supportive team that’s making waves across Africa.

• 2–5+ years of experience in software development with a strong Python background
• Exposure to or curiosity about generative AI technologies — image generation, LLMs, computer vision, and voice cloning
• Experience working on experimental or R&D-style projects, preferably in small, agile teams
• Familiarity with tools, frameworks, or APIs in the GenAI ecosystem (e.g. Diffusion Models, Transformers, Whisper, VITS, etc.)

• Python expert — confident writing clean, experimental, and reusable code
• Comfortable working with ML frameworks (e.g., PyTorch, Hugging Face, OpenAI, Replicate, ComfyUI, etc.)
• Quick to prototype and iterate — whether building a new tool, testing a model, or running a benchmark
• Strong debugging and research skills — can sift through GitHub issues, Discord chats, arXiv papers, and Reddit threads to find answers
• Comfortable running, modifying, and chaining models (image, text, audio)
• Bonus: Experience with prompt engineering , fine-tuning , or deploying GenAI models at scale

• Inherently curious — obsessed with how things work, how they break, and how to push them further
• Self-motivated and comfortable diving deep into weird corners of the internet for answers
• Passionate about open-source GenAI models , experimental tools, and cutting-edge research
• Willing to test and break boundaries — including uncensored models and controversial areas of GenAI
• Strong communicator — shares findings clearly with the team, documents well, and raises good questions
• Not afraid to get stuck, get weird, and figure it out

• Real-World Impact — Helped prototype features across image generation, LLM interaction, computer vision, and voice cloning
• Contributed code and insights that directly shaped product direction and AI integration
• Explored edge-case use of GenAI tools and models, helping the team find what’s next before it’s mainstream
• Acted as a radar inside GenAI communities — surfacing trends, breakthroughs, and tooling before others spot them
• Pushed forward initiatives with a hacker's mentality and a researcher's discipline