Lead Agentic AI & Java Integration Consultant

Agentic System Orchestration : Design and coordinate AI agents using LangChain and LangGraph to manage tool calling, memory, control flow, and multi-step reasoning.

Java/Spring Boot Integration: Embed GenAI workflows into massive-scale enterprise applications leveraging Java, Spring Boot, APIs, and microservices.

Advanced RAG Pipelines: Architect robust GenAI patterns including Retrieval-Augmented Generation (RAG), semantic search, and the full embeddings/vector database lifecycle.

Application-Level Guardrails : Collaborate with the platform team to enforce prompt injection defenses, data privacy constraints, explainability, and Human-in-the-Loop (HITL) approval flows within the business logic.

Evaluation & Operationalization : Define automated evaluation pipelines using DeepEval (or equivalent) to monitor for accuracy, conceptual drift, and hallucinations at the application tier.

Technical Leadership: Define GenAI engineering standards for application development and mentor teams on when to apply agent-based approaches versus conventional deterministic services.

8+ years of software engineering experience, anchored in enterprise Java and Spring Boot.

Deep, hands-on expertise in Agentic AI frameworks (LangChain, LangGraph) and prompt engineering (structured outputs, function calling).

Proven experience building and scaling RAG pipelines and vector database integrations.

Experience integrating seamlessly with secure API gateways and optimized LLM endpoints.

Must be onsite at client in Charlotte, NC at least 3 days/week

Demonstrated ability to navigate enterprise security, regulatory constraints, and complex architectures