Gen AI Engineer [Python, LLM]

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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