Senior GenAI / AI-ML Engineer

Lorven Technologies Inc.; Chennai District; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Lorven Technologies Inc. is seeking a Senior GenAI/AI-ML Engineer in Chennai to design and deploy production-grade Generative AI solutions. The role requires strong hands-on experience with Generative AI, LLMs, LangChain, LangGraph, Python, and FastAPI.

You will work on RAG workflows, embeddings, vector databases, and deploying AI services, collaborating with cross-functional teams to deliver enterprise-grade GenAI applications in the cloud.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred).
• 5+ years of experience in AI/ML with Generative AI and LLM-based applications.

Responsibilities

• Design and deploy production-grade Generative AI solutions.
• Integrate GenAI with LLM APIs and model providers.

Skills

Python

LangChain

LangGraph

FastAPI

RAG

Generative AI

LLMs

API Development

Cloud platforms

MLOps

SQL/NoSQL

Embeddings

Vector databases

Deployment

Education

Bachelor's in CS/Data/AI/ML

Master's preferred

Tools

Docker

Kubernetes

CI/CD

OpenAI API

Azure OpenAI

Hugging Face

Job description

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

Required Qualifications

We’re 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:

• Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s 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.