Develop GenAI applications, agents and automation workflows using approved designs and engineering standards.
Implement retrieval-augmented generation, function calling, structured outputs and prompt patterns to improve solution reliability and usability.
Integrate AI components with enterprise systems, APIs, approved vector search services and governed data sources.
Build and maintain ingestion, chunking, embedding, indexing and retrieval pipelines for structured and unstructured content.
Create evaluation datasets and execute repeatable testing for accuracy, grounding, safety, latency and solution quality.
Apply responsible AI controls including validation, guardrails, content filtering, traceability and human oversight.
Develop clean, reusable and well-documented Python components and participate in code reviews.
Support deployment, monitoring, incident resolution and continuous optimisation of AI solutions.
Any question or remark? just write us a message
If you would like to discuss anything related to payment, account, licensing,
partnerships, or have pre-sales questions, you’re at the right place.