AI Agent Engineer
Louisville, KY - USA
Job Summary
Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.
| Job Details | |
| Client Industry | Healthcare |
| Full Job Description | See Primary Skills |
| Visa Restrictions | NO SPONSORSHIP |
| Locals Only/ Out of Area/ Remote | Remote |
| Interview Type (Phone Video Face to Face) | Video |
| Anticipated Start (in weeks) | 2 |
| 3-5 Must Haves | Strong hands-on expertise in: Agentic AI frameworks (MCP ADK Lang Graph Lang Chain) LLM integration & orchestration RAG (Retrieval-Augmented Generation) systems Experience with Vector databases (Pinecone FAISS Weaviate etc.) and Graph databases (Neo4j Neptune etc.) Strong knowledge of: Semantic search embeddings knowledge graphs. Multi-agent systems and workflow orchestration Deep experience with: GCP (preferred): Vertex AI Cloud Run GKE Azure Strong background in: API design microservices distributed systems. Backend development (Python preferred) |
Required Skills : 10 years in Solution/Enterprise Architecture/ Software Engineering 5 years experience as a Lead/Senior architect or senior technical lead for large IT projects spanning multiple enterprise systems 2 years of hands-on AI development and deployment Proven experience delivering production-grade AI products Strong track record in cloud modernization and migration initiative Key knowledge of all Software Development Life Cycle (SDLC) activities including ideation design implementation validation of functional and non-functional aspects and Day 2 operations. Knowledge and experience with enterprise architecture pattern development cloud-native architecture and agile delivery. Experience with enterprise-grade technical integrations involving a variety of modern technical capabilities
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Rank :B2
Requested Date :