Overview:Job Title: Gen AI Engineer (LLM, LangChain, AI Agents)Experience: 8-10 Years
Job SummaryWe 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