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

- 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

- Solid 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

📌 Senior Ai / Genai Engineer - Agentic Ai & Llm Platforms (Hyderabad)
🏢 Mutual Objects
📍 Hyderabad