AI Engineer
Tasks
- Build LLM powered tools using LangGraph and LangChain
- Build intelligent automation flows
- Design and implement agent based AI workflows
- Develop RAG pipelines and integrate multiple data sources
- Document AI workflows decision logic and runbooks
- Educate internal teams on AI capabilities and limitations
- Ensure AI workflows comply with security privacy and compliance requirements
- Implement guardrails approvals logging and human in the loop
- Monitor AI performance errors hallucinations and drift
- Partner with business teams to identify automation opportunities
- Take AI solutions from prototype to production
- Validate company data quality and identify data gaps
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent-based | Agent-based systems | Context engineering | Data Quality | Data integration | Human-in-the-loop | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Prompt engineering | Python | RAG | The Loop
Education
N/A
Roles
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