Design and build full stack agentic AI applications using Python backends, REST and event-driven APIs, and React or equivalent frontends. Build and configure AI agents with orchestration frameworks such as LangGraph or AutoGen, including prompt architecture, memory and multi-agent workflows. Develop MCP servers, RAG pipelines, Text-to-SQL capabilities and knowledge retrieval layers. Maintain CI/CD pipelines, observability, testing suites and versioned registries for agent code and prompts. Work within delivery teams to translate business requirements into production-grade AI solutions.
Requirements
3+ years full stack software engineering in production (Python backend and React, Angular or Node.js frontend)
3+ years building and deploying LLM-based applications
Hands-on experience with agentic AI frameworks
3+ years in classical AI/ML, data engineering or analytics
Experience with CI/CD, TDD, version control, code review and automated testing
2+ years cloud-native development on AWS, Azure or GCP
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