AIML +Lang chain/Lang graph

Role Overview

We are looking for an experienced AI/ML Engineer with strong expertise in Python, Generative AI, LLMs, LangChain, and LangGraph. The candidate will be responsible for designing and developing AI-powered applications, intelligent agents, and scalable LLM-based solutions.

Key Responsibilities

Design and develop AI/ML and Generative AI applications using Python and modern LLM technologies.

Build LLM-based applications and AI agents using LangChain and LangGraph.

Develop agentic workflows involving tool calling, memory, reasoning, and multi-step orchestration.

Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or other foundation models.

Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases.

Work with embeddings, prompt engineering, semantic search, and document processing.

Develop scalable APIs and backend services using Python, FastAPI, or Flask.

Build and integrate AI solutions with existing applications and enterprise systems.

Deploy and maintain AI/ML solutions on cloud platforms.

Collaborate with data scientists, software engineers, and product teams to develop business-focused AI solutions.

Required Skills

Strong hands-on experience in Python programming.

Strong experience in AI/ML and Generative AI.

Hands-on experience with LLMs and LLM-based application development.

Strong experience with LangChain and/or LangGraph.

Experience building AI Agents / Agentic AI workflows.

Strong understanding of RAG, embeddings, vector databases, and prompt engineering.

Experience with vector databases such as FAISS, Pinecone, Chroma, Weaviate, or Azure AI Search.

Experience developing REST APIs using FastAPI/Flask.

Good understanding of Machine Learning, NLP, and deep learning concepts.

Experience with Azure / AWS / GCP cloud platforms.

Good to Have

Experience with multi-agent systems and agent orchestration.

Knowledge of MLOps / LLMOps.

Experience with Docker, Kubernetes, and CI/CD.

Knowledge of LLM evaluation, monitoring, observability, and AI governance.

Experience with Azure OpenAI, Azure AI Foundry, or AWS Bedrock.