Experience Range:5+ Years

Location: Chennai

Mandatory Skillset: Langchain,LangGraph, Python,Fast API,RAG and Generative AI

Work Mode: Work From Office

Budget: Years of Exp* 4

Walkin Venue: Agilisium Chennai,World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096

Walkin Time: 10.30PM-3PM

Required QualificationsWere looking for a Senior GenAI / AI-ML Engineer with strong hands-on experience in designing and deploying production-grade Generative AI solutions.

Must-have skills:

- Bachelors degree in Computer Science, Data Engineering, AI/ML, or a related field(Masters preferred).
- 5+ years of experience in AI/ML, with significant hands-on experience in Generative AI and LLM-based applications.
- Strong hands-on experience with Generative AI / Large Language Models (LLMs), including model integration, evaluation, optimization, and deployment.
- Strong expertise in Python and experience building scalable AI applications and services.
- Hands-on experience with LangChain and LangGraph for developing LLM-powered applications, workflows, and AI agents.
- Strong experience building Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embeddings, retrieval, reranking, context management, and response generation.
- Strong hands-on experience with FastAPI for developing and exposing AI/ML services and APIs.
- Experience working with LLM APIs and model providers such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent.
- Good understanding of prompt engineering, embeddings,



vector search, and LLM evaluation.
- Experience integrating GenAI solutions with SQL/NoSQL databases, vector databases, and enterprise data sources.
- Strong understanding of cloud platforms such as AWS, Azure, or GCP and their AI/ML services.
- Understanding of MLOps, model lifecycle management, deployment, monitoring, and productionization of AI solutions.
- Robust problem-solving, communication, and collaboration skills, with the ability to work with cross-functional teams.

Preferred Skills

- Model Context Protocol (MCP) experience, including building or integrating MCP servers/tools with LLM applications or AI agents.
- Experience developing AI Agents / Agentic AI workflows using LangGraph or similar frameworks.
- Experience with multi-agent systems, tool calling, function calling, and structured outputs.
- Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or FAISS.
- Experience with LLM fine-tuning, LoRA/PEFT, or model optimization.
- Experience with Docker, Kubernetes, CI/CD, and cloud-native deployments.
- Strong understanding of AI security, data governance, responsible AI, and enterprise GenAI architecture.
- Life Sciences / Pharma / Healthcare domain expertise is highly desirable.
- Experience integrating GenAI solutions into production-level enterprise applications.

Core Technology StackMust Have: Generative AI | LLM | Python | LangChain | LangGraph | RAG | FastAPI

Preferred:

MCP | AI Agents | Vector Databases | LLM Fine-tuning | Cloud | MLOps | Life Sciences

📌 Walk-in || AI/ML_Walk-in Drive_AGILISIUM_19th SEP (Chennai)
🏢 Agilisium
📍 Chennai