Walk-in | AI/ML WALK-IN DRIVE_24th Oct_ Agilisium

Agilisium; Chennai; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Agilisium seeks a Senior GenAI / AI-ML Engineer in Chennai to design and deploy production-grade Generative AI solutions. You will work with LangChain and LangGraph, building RAG pipelines and AI agents. Strong Python and cloud experience required; experience with LangChain-based workflows is essential.

The role focuses on deployment, evaluation, and integration with LLM APIs across enterprise data sources. This is a work-from-office position in Chennai with a 5+ year track record in AI/ML.

Formación

• Bachelors degree in CS/AI/ML or related field; Masters preferred.
• 5+ years of AI/ML experience with Generative AI and LLM-based apps.
• Hands-on with Generative AI and LLMs including deployment and eval.
• Strong Python skills; building scalable AI services.

Responsabilidades

• Design and deploy production-grade Generative AI solutions.
• Integrate GenAI with LLM APIs from OpenAI, Azure, and other providers.
• Develop LangChain/LangGraph powered workflows and AI agents.
• Implement RAG pipelines with document ingestion, embedding, and retrieval.

Conocimientos

LangChain

LangGraph

Python

FastAPI

RAG

Generative AI

LLMs

Prompt engineering

Embeddings

Vector search

SQL/NoSQL

Cloud platforms

MLOps

Educación

Bachelor's degree in Computer Science or related

Masters preferred

Herramientas

Docker

Kubernetes

CI/CD

Descripción del empleo

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

Walkin Time: 10.30AM-3PM

Experience Range:5+ Years

Location: Chennai

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

Work Mode: Work From Office

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.
• Strong 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