Key Responsibilities:

Senior Data / ML Engineer (LLM & Agentic Systems)

Were hiring a Senior Data / ML Engineer to build and scale production-grade AI and agentic

systems that solve real business problems. This role is hands-on and engineering-heavy, focused on taking

AI from prototype to reliable, governed production systems.

What Youll Do
Build and deploy LLM-powered applications and agentic workflows (single & multi-agent).
Design and implement RAG pipelines, embeddings, and vector search.
Develop end-to-end ML/LLM pipelines from data ingestion to inference and monitoring.
Productionize AI systems with cost controls, observability, and guardrails.
Integrate AI solutions into enterprise workflows and platforms.
Collaborate with product, platform, and governance teams to deliver responsible AI.

Required Skills and Qualifications:
6+ years of experience in Data Engineering, ML Engineering,



or Applied AI and should have worked in product development companies
Hands-on experience deploying LLM-based systems in production.
Robust Python skills and experience with scalable systems.
Experience with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar).
Solid understanding of RAG, vector databases, embeddings, and prompt optimization.
Familiarity with MLOps, monitoring, and cost/performance trade-offs.

Nice to Have
Experience in regulated or enterprise environments.
Exposure to AI governance, explainability, or risk controls.
Background in document intelligence or NLP-heavy systems.

Why Join
Build real AI systems, not demos.
High ownership over architecture and implementation.
Work on cutting-edge agentic AI with enterprise impact.
Competitive compensation and robust growth prospects.

📌 Senior Data Engineer Hyderabad
🏢 EY
📍 Hyderabad