Required Skills
- 3 years experience in Generative AI / LLM / Agentic AI
- Strong Python (must-have): APIs async microservices distributed systems
- Experience building RAG pipelines embeddings vector search LLM orchestration
- Experience with FastAPI / Flask
- Hands-on GCP Kubernetes/OpenShift
- CI/CD DevOps tooling experience
- Experience working in enterprise or regulated environments
- Ability to work independently and drive AI solutions
- LangChain / LlamaIndex nice to have -NOT REQUIRED
Day to Day
- Build Generative AI and Agentic AI systems including LLM-based autonomous agents and multi-agent workflows
- Design and implement RAG pipelines (embeddings vector search retrieval grounding prompt engineering)
- Develop LLM orchestration systems (function calling tool use guardrails evaluation safety controls)
- Build Python-based AI microservices and APIs using FastAPI / Flask
- Work on distributed AI systems supporting high-scale inference and retrieval workloads
- Develop and manage MCP (Model Context Protocol) servers and context frameworks
- Deploy AI solutions on GCP (Vertex AI GKE Cloud Run) and OpenShift/Kubernetes
- Build and maintain CI/CD pipelines for AI services in enterprise environments
- Work with vector databases (Pinecone Redis pgVector MongoDB Atlas Vector Search etc.)
- Ensure security governance compliance and responsible AI standards (banking environment)
DETAILS NEEDED
Please provide years of experience:
- Python development
- Build LLM powered applications (not just models)
- Working with production grade RAG systems
- Cloud deployment
- FAstAPI
- Flask
- Kubernetes
- Design AI systems end-to-end
Delaware NJ VA MD Washington DC PA manager will take relocations but must be within reason and must be serious about moving
Required Skills 3 years experience in Generative AI / LLM / Agentic AI Strong Python (must-have): APIs async microservices distributed systems Experience building RAG pipelines embeddings vector search LLM orchestration Experience with FastAPI / Flask Hands-on GCP Kubernetes/OpenShift CI/CD D...
Required Skills
- 3 years experience in Generative AI / LLM / Agentic AI
- Strong Python (must-have): APIs async microservices distributed systems
- Experience building RAG pipelines embeddings vector search LLM orchestration
- Experience with FastAPI / Flask
- Hands-on GCP Kubernetes/OpenShift
- CI/CD DevOps tooling experience
- Experience working in enterprise or regulated environments
- Ability to work independently and drive AI solutions
- LangChain / LlamaIndex nice to have -NOT REQUIRED
Day to Day
- Build Generative AI and Agentic AI systems including LLM-based autonomous agents and multi-agent workflows
- Design and implement RAG pipelines (embeddings vector search retrieval grounding prompt engineering)
- Develop LLM orchestration systems (function calling tool use guardrails evaluation safety controls)
- Build Python-based AI microservices and APIs using FastAPI / Flask
- Work on distributed AI systems supporting high-scale inference and retrieval workloads
- Develop and manage MCP (Model Context Protocol) servers and context frameworks
- Deploy AI solutions on GCP (Vertex AI GKE Cloud Run) and OpenShift/Kubernetes
- Build and maintain CI/CD pipelines for AI services in enterprise environments
- Work with vector databases (Pinecone Redis pgVector MongoDB Atlas Vector Search etc.)
- Ensure security governance compliance and responsible AI standards (banking environment)
DETAILS NEEDED
Please provide years of experience:
- Python development
- Build LLM powered applications (not just models)
- Working with production grade RAG systems
- Cloud deployment
- FAstAPI
- Flask
- Kubernetes
- Design AI systems end-to-end
Delaware NJ VA MD Washington DC PA manager will take relocations but must be within reason and must be serious about moving
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