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.(ref : hirist.tech)