AI Engineer, Agentic AI & Workflow Automation
Overview
Design and deliver responsible, secure AI-powered tools that improve onboarding and operational execution. Implement agentic AI patterns including multi-step workflows, tool-use, and human-in-the-loop approvals, integrating them into production systems to reduce manual effort. Collaborate with cross-functional teams to scale these solutions across the organization. This role focuses on building production-ready AI systems that directly impact operational efficiency.
What You'll Do6
- 1Design and implement agentic AI workflows using LangChain and LangGraph to automate multi-step processes.
- 2Integrate OpenAI and Azure OpenAI services into production systems with human-in-the-loop approval mechanisms.
- 3Build and deploy RAG pipelines with Pinecone for contextual information retrieval.
- 4Develop secure API endpoints using Python and FastAPI to expose AI capabilities.
- 5Monitor and evaluate model performance, implementing guardrails for responsible AI usage.
- 6Collaborate with product and engineering teams to ship AI features within 90 days.
Requirements6
- 13+ years of experience building AI solutions with Python and LangChain.
- 2Hands-on experience with Azure OpenAI and OpenAI APIs in production.
- 3Proficiency in RAG architectures and vector databases like Pinecone.
- 4Familiarity with agentic AI patterns including tool-use and human-in-the-loop workflows.
- 5Experience with FastAPI or similar frameworks for API development.
- 6Strong understanding of security and responsible AI practices.
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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