Role Overview :

We are seeking a hands-on GenAI engineering leader to design and deliver agentic systems, RAG pipelines, and LLM-powered applications.

You will be the go-to authority for applied AI architectures that move from prototype to enterprise production.

Responsibilities :

- Architect agentic workflows, RAG systems, conversational AI solutions.

- Build accelerators and reusable components on frameworks like LangChain, LangGraph, Haystack.

- Integrate LLMs with vector databases, APIs, enterprise data sources.

- Implement AI evaluation, prompt optimization, safety guardrails.

- Mentor engineers, review code, set AI development best practices.

Qualifications :

- 8+ years in software/AI engineering, with 3+ in LLMs/GenAI.

- Deep expertise in Python, orchestration frameworks, vector search.

- Strong exposure to cloud AI services (AWS Bedrock, Azure AI Foundry, GCP Vertex AI).

- Track record of shipping production-grade AI systems.