Senior AI Engineer

We are looking for a skilled AI Developer to build and deploy production-grade Generative AI and Agentic AI solutions. The ideal candidate should have hands-on experience with LLMs, RAG pipelines, AI agents, API integrations, and modern AI orchestration frameworks. You will work closely with product, engineering, and business teams to deliver scalable, secure, and cost-efficient AI-powered solutions.

Responsibilities:

• Develop and deploy AI-powered applications using LLMs and Agentic AI frameworks.
• Build and optimise RAG pipelines, embeddings, vector databases, and prompt workflows.
• Design AI agents, tool/function-calling systems, and multi-agent workflows.
• Integrate AI solutions with enterprise applications, APIs, and business systems.
• Implement evaluation frameworks, monitoring, logging, and guardrails for AI systems.
• Ensure security, privacy, scalability, and cost optimisation of AI applications.
• Collaborate with cross-functional teams to deliver high-impact business outcomes.

Requirements:

• Strong programming skills in Python and backend/API development.
• Experience with OpenAI, Gemini, Anthropic, Azure OpenAI, or similar LLM platforms.
• Hands-on experience with RAG, Embeddings, Vector Databases (Pinecone, Elasticsearch, Azure AI Search).
• Experience with LangChain, CrewAI, AutoGen, Semantic Kernel, or similar agent frameworks.
• Knowledge of Prompt Engineering, Function Calling, Structured Outputs, and MCP.
• Experience with Cloud Platforms (Azure/AWS/GCP), Docker, and Kubernetes.
• Familiarity with monitoring, observability, testing, and AI evaluation frameworks.

Good to Have:

• Experience with workflow automation tools such as Power Automate or UiPath.
• Exposure to regulated environments and secure AI development practices.