Senior AI / GenAI Engineer – Agentic AI & LLM Platforms

We are looking for a highly skilled Senior AI / GenAI Engineer to build next-generation AI systems powered by LLMs, Agentic AI, RAG architectures, and production-grade ML platforms.

This role is ideal for someone who has deep expertise across the full AI stack — from model development and fine-tuning to scalable deployment, orchestration, and enterprise AI integrations.

What You’ll Do

• Design and build scalable GenAI applications, Agentic AI systems, and enterprise-grade RAG platforms
• Develop multi-agent workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen
• Build and optimize LLM pipelines including:
• RAG / Graph-RAG / Corrective RAG
• Prompt Engineering
• Fine-tuning (LoRA, QLoRA, DPO, RLHF)
• Embedding optimization & vector search
• Develop AI copilots and autonomous workflows integrating enterprise tools/APIs
• Create MCP/tool-based architectures for LLM orchestration and function calling
• Build evaluation frameworks for hallucination control, response quality, and AI reliability
• Optimize inference latency, scalability, and observability for production AI systems
• Collaborate with product, engineering, and business teams to deliver enterprise AI solutions

Required Skills

• 5+ years of experience in AI/ML Engineering or Data Science
• Strong expertise in:
• Python
• PyTorch / TensorFlow
• LLMs & Generative AI
• LangChain / LangGraph / LlamaIndex
• Vector Databases (Pinecone, Qdrant, Weaviate, FAISS, Chroma)
• FastAPI / Microservices Architecture
• Docker & Kubernetes
• Cloud Platforms (AWS / Azure / GCP)
• Hands-on experience with:
• Multi-Agent AI Systems
• RAG Pipelines
• Prompt Engineering
• LLM Fine-Tuning
• AI Evaluation Frameworks
• MLOps & CI/CD
• Strong understanding of scalable AI infrastructure and distributed systems

Preferred Qualifications

• Experience building enterprise AI products in automotive, aerospace, pharma, fintech, or manufacturing domains
• Exposure to MCP servers, tool orchestration, and AI agents
• Experience with observability, tracing, and AI system monitoring
• Contributions to open-source AI ecosystems or technical communities

What We’re Looking For

• Strong problem-solving and system design skills
• Ability to work on cutting-edge AI products from concept to production
• Someone passionate about building practical, scalable AI systems — not just prototypes

Bonus Points

• Experience with:
• DeepEval / RAGAS / LangSmith
• vLLM / Triton / TorchServe
• RLHF pipelines
• Bayesian Optimization
• AI security & guardrails
• NLP / Computer Vision / Time-Series AI systems

Pay: ₹456,646.56 - ₹1,758,087.79 per year

Experience:

• Python: 3 years (Required)
• PyTorch: 3 years (Required)
• LangChain: 3 years (Required)
• Cloud Platforms: 3 years (Required)

Work Location: In person