Senior AI Engineer

About the role

We are hiring two Senior AI Engineers to build AI applications for enterprise use — connecting large language models to business data and making the results accurate, secure and reliable in production. You will own the design as well as the build: decide how the solution works, then build it using AI coding tools and verify everything that ships. This is applied engineering, not research.

What you'll do

• • Design the architecture — integration, data flow, access control and failure handling.
• • Build RAG pipelines so the system answers from approved data, not guesswork.
• • Integrate LLM APIs and enterprise systems, and build the application layer around them.
• • Use AI coding assistants to build faster, and review everything they produce.
• • Deploy to cloud, test for accuracy, and own it in production — security, latency and cost.

What we're looking for

• • 6–10 years in software development, including 2+ years building AI/LLM applications used in production.
• • Strong Python.
• • Hands-on RAG experience: embeddings, semantic search and a vector database (Pinecone, Chroma, FAISS, Weaviate, Milvus or pgvector).
• • Production use of LLM APIs — Claude, OpenAI, Amazon Bedrock, Azure OpenAI or OCI Generative AI.
• • Proven solution design: you have architected an enterprise integration and can defend it on security, cost and failure handling.
• • REST API integration, authentication and authorisation, and safe handling of sensitive data.
• • Cloud deployment on AWS, Azure, OCI or GCP, with Docker and CI/CD.
• • Daily use of AI coding assistants (Claude Code, Copilot, Cursor) and a clear view of where they fail.

Skills