Job Title: Gen AI Engineer (LLM, LangChain, AI Agents)

Experience: 8-10 Years

Job Summary

We are seeking a Gen AI Engineer with strong expertise in Python, Large Language Models (LLMs), and AI agent development using LangChain.

The ideal candidate will be responsible for designing, building, and deploying AI-powered solutions, including intelligent agents, custom tools, and scalable architectures. This role requires a blend of hands-on coding, innovation, and architectural thinking to deliver cutting-edge Generative AI applications.

Key Responsibilities

AI & GenAI Development

• Design and develop AI-powered applications using Large Language Models (LLMs)

• Build and deploy intelligent AI agents using LangChain framework

• Develop custom tools and integrations for AI agents (MCPs / tool-based extensions)

Architecture & Solution Design

• Design scalable Gen AI architectures and workflows

• Implement end-to-end solutions including:

  • Prompt engineering

  • Context management

  • Retrieval-Augmented Generation (RAG)

• Ensure performance, scalability, and reliability of AI systems

Agent Development & Orchestration

• Program and orchestrate multi-agent systems

• Build custom connectors/tools for enhanced agent capabilities

• Optimize agent performance and response quality

Innovation & Research

• Explore and implement new advancements in Generative AI and LLM ecosystems

• Continuously improve models, prompts, and workflows

• Prototype innovative AI use cases and solutions

Collaboration & Delivery

• Collaborate with cross-functional teams (Product, Data, Engineering)

• Translate business requirements into AI-driven solutions

• Participate in Agile development and code reviews

Required Skills & Experience

• 8-10 years of experience in software engineering / AI development

• Strong expertise in:

  • Python (mandatory)

  • Generative AI / LLMs

• Hands-on experience with:

  • LangChain framework

  • AI Agent development

  • Custom tool / MCP development for agents

• Strong understanding of:

  • Prompt engineering

  • RAG (Retrieval-Augmented Generation)

  • AI workflows and orchestration

Technical Skills

• Programming: Python

• Frameworks: LangChain (mandatory)

• AI: LLMs (OpenAI, open-source models, etc.)

• Concepts: AI Agents, RAG, Prompt Engineering

• APIs: REST / JSON integrations