Key skills
MicroservicesNoSQLPythonSQLAIMLLLMRAGLangChainLangGraphRESTfulAgile
About this role
Role Overview
- Design, develop, and refine custom AI agents using LangGraph and CrewAI within agile sprint cycles
- Build and manage complex, multi-step automation workflows using n8n and Python
- Integrate AI agents with RESTful APIs, SQL/NoSQL databases, and internal enterprise systems
- Implement Model Context Protocol (MCP) to securely connect LLMs with internal tools and data sources
- Optimize and fine-tune Retrieval-Augmented Generation (RAG) pipelines for improved accuracy and contextual relevance
- Collaborate closely with engineering teams to ensure scalable, production-grade deployments
- Continuously improve agent performance, reliability, and response quality
Requirements
- 6–8 years of experience in software engineering, AI/ML, or automation development
- Strong hands-on experience with LangChain, LangGraph, and CrewAI
- Proven expertise in building AI-driven workflows using n8n and Python
- Solid understanding of RAG architectures and optimization techniques
- Experience with API integrations, microservices, and database connectivity (SQL/NoSQL)
- Familiarity with LLM ecosystems and prompt engineering best practices
- Strong problem-solving, debugging, and system design skills.
Tech Stack
- Microservices
- NoSQL
- Python
- SQL
Benefits
- Remote Job
- Immediate Joiners Only