Quick overview
SeniorityMid Senior
Work modeHybrid
LocationCharlotte, NC, United States
Generative AI
Job description
- Architect single-agent and multi-agent solutions using Googte ADK, LangGraph/LangChain, Microsoft Semantic Kernel, AutoGen, OponAl Agents SDK. + Design agent workflows using Model Context Protocol (MCP), function calling, structured outputs, reusable skils, planning, state, memory, AZA handotts, and human approval gates.
- Use Claude Code, GitHub Copilot agent mode/coding agent, Devin, Cursor, OpenAl Codex for implementation, testing, refactoring, documentation, and pull request workfiows.‘+ Build grounded enterprise Al experiences using advanced RAG, hybrid retrieval, reranking, knowledge graphs, citations, contex t engineering, and governed model + Engineer reliable Python and TypeScript agent services with asynchronous execution, retries, checkpointing, idempotency, rollback, escalation, and tong-running workflow patterns.‘+ Imptement agent evaluation and LLMOps using task-success benchmarks, ARIZE tracing, promptersion management, iatency and token-cost controls, and production SLOs.‘+ Apply enterprise Al security including prompt-injection defense, least-privilege tool access, sandboxinPil protection, content safety, auditability, red teaming, ‘and policy enforcement.
- Integrate agents with enterprise APIs, databases, events, documents, and Systems of Record, partnering with product, operations, risk, cyber, architecture, and platform teams.
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