Found Description
Role Overview: Design, build, and deploy intelligent automation solutions using Agentic AI frameworks and modern LLM-based architectures.
AI Engineer (4–9 yrs)
Key Responsibilities:
- Develop AI applications using LLMs and agentic workflows
- Build automation using LangChain, LangGraph
- Create intelligent agents (Claude CoWork / OpenAI)
- Implement workflows (n8n, MCP, A2A)
- Integrate with enterprise APIs
- Deploy on AWS
- Optimize prompts, memory, reasoning
- Collaborate with data/ML teams
Required Skills:
- Strong Python
- LangChain / LangGraph experience
- Agentic AI workflows
- LLMs, Prompt Engineering, RAG
- API integrations, automation tools
- AWS (Lambda, S3, Bedrock)
Good to Have:
- Claude / GPT ecosystems
- Multi-agent systems
- Production AI systems