Gen AI Engineer

Senior Generative AI Expert

Experience : 6 years to 8 years

Location : Chennai /Hyderabad / Bangalore

Key Responsibilities:

• Lead the design and development of GenAI applications using frameworks like

  LangChain

  ,

  LlamaIndex

  , and others.
• Evaluate and integrate both open-source and proprietary LLMs based on project needs.
• Build agentic systems and retrieval-augmented generation (RAG) pipelines.
• Collaborate with data engineers, backend developers, and product teams to deploy AI models into production.
• Fine-tune pre-trained language models on domain-specific tasks.
• Drive research-to-production pipelines by implementing the latest advancements in LLMs, transformers, embeddings, and vector databases.
• Mentor junior AI engineers and contribute to internal knowledge sharing.
• Optimize model performance, latency, and accuracy across various use cases.

Required Skills & Qualifications:

• 6+ years of experience in software/ML engineering, with 2+ years specifically in GenAI/LLM space.
• Strong expertise in

  Python

  and popular GenAI libraries (LangChain, LlamaIndex, HuggingFace Transformers, etc.)
• Deep understanding of LLMs, prompt engineering, embeddings, vector stores (e.g., FAISS, Pinecone, Weaviate).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Familiarity with fine-tuning, quantization (e.g., LoRA, QLoRA), and inference optimization.
• Ability to work autonomously and lead cross-functional teams.
• Strong communication, system design, and leadership skills.

Preferred Qualifications:

• Prior experience with multi-agent systems, memory-based agents, or tools like CrewAI, AutoGen, LangGraph.
• Familiar with MCP (Model Context Protocol) and how to implement it in agentic ai applications.
• Knowledge of multimodal models (text-to-image/video/audio).
• Publications or contributions in the field of NLP or GenAI.
• Open-source contributions in the LLM ecosystem.