Ai Automation

KEY RESPONSIBILITIES

• Develop robust REST and streaming APIs using FastAPI or Flask; ensure clean API contracts and documentation.
• Build responsive UI components in React.js, consuming AI-powered backend services.
• Integrate LLMs (OpenAI GPT-4o, Anthropic Claude, Gemini, open-source Llama/Mistral) with enterprise data sources.
• Write and iterate on prompts — system prompts, few-shot examples, chain-of-thought instructions — to optimize model behavior.
• Maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps for automated testing and deployment.
• Use GitHub for version control and JIRA for sprint planning, backlog grooming, and issue tracking.
• Stay current with rapidly evolving AI tooling and contribute to internal knowledge sharing.
• Design and develop Agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
• Build, tune, and maintain RAG pipelines integrating vector databases (Pinecone, Weaviate, Chroma, pgvector).
• Implement multi-agent orchestration patterns: task delegation, tool use, memory management, and agent loops.