Job Description
About the Role
We are seeking a talented Junior-Mid Agentic AI Engineer to join our team in Cape Town City Centre (Remote). As a key member of our ML Engineering team, you will design, develop, and deploy cutting-edge Agentic AI systems and LLM-powered applications in production environments. You will work closely with the team to build and optimize RAG pipelines, integrate vector databases, and develop backend services.
Key Responsibilities
- Design, develop, and deploy agentic AI systems and LLM-powered applications in production environments.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion, chunking strategies, embedding models, and retrieval mechanisms.
- Integrate and manage vector databases (e.g., Pinecone, Weaviate, Qdrant, Milvus, ChromaDB) for efficient similarity search and knowledge retrieval.
- Develop and maintain Backend services and APIs (primarily in Python) to serve AI models and agent workflows.
- Collaborate on model evaluation, testing, and continuous improvement with the ML Engineering team.
- Contribute to the design of agentic architectures, tool-use patterns, and orchestration frameworks.
- Implement guardrails, monitoring, and observability for LLM-based systems in production.
- Collaborate on MLOps practices including model registry, experiment tracking, and CI/CD for ML pipelines.
Requirements
- 2–3 Years of professional experience in AI/ML Engineering or a closely related role.
- At least one production-level Agentic project — you’ve built, deployed, and maintained an agent-based system that serves real users or real workloads.
- Solid foundation in general Machine Learning — supervised/unsupervised learning, model training, evaluation metrics, and data preprocessing.
Qualifications
- Formal education/certifications not specified.
Salary & Benefits
- Salary information not provided.
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Scientific / QA Jobs in Cape Town Region
The Cape Town region is home to a thriving scientific and QA (Quality Assurance) community, with many organizations across various industries seeking skilled professionals to drive innovation and quality control.
Typically, salaries for scientific and QA roles in the Cape Town region vary widely depending on factors such as experience, company size, and industry sector. Generally, entry-level positions may command salary ranges between R300 000 to R500 000 per annum, while senior roles can offer more substantial packages, often ranging from R600 000 to R1 200 000 or more, with variations based on individual circumstances.
Common skills required for scientific and QA roles include a strong foundation in mathematics and science, programming languages such as Python, Java, or C++, data analysis and interpretation, attention to detail, effective communication, and the ability to work collaboratively as part of a team. Additionally, many organizations in this sector place a high value on analytical thinking, problem-solving skills, and adaptability.
The Cape Town region is home to various industries that commonly employ scientific and QA professionals, including the technology industry, financial services sector, manufacturing sector, and research institutions. While these sectors may have varying requirements, many organizations in these areas seek skilled professionals to drive innovation, quality control, and data-driven decision-making.
For those seeking a career in scientific or QA roles, there are numerous opportunities for professional growth and development. Typically, professionals in this field can expect to move into senior roles with increased responsibility within 5-10 years of experience. Many organizations also offer training and development programs, mentorship opportunities, and networking events to support the ongoing education and skills enhancement of their employees.
As a job seeker, it is essential to research the specific requirements of various industries and companies to determine which role best aligns with your skills, interests, and career goals. By understanding the general trends in the scientific and QA job market, you can position yourself for success in this rewarding field.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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