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Full-time
Posted 21d ago
~40 hrs/week
Responsibilities
Design and develop production-ready agentic AI workflows and multi-step agent patterns integrating LLMs with enterprise systems. Responsible for implementing human-in-the-loop controls, managing agent memory via RAG, and monitoring AI services in production.
Requirements
Requires at least 2 years of backend experience in C# or Python and 1 year of hands-on experience with LLMs and prompt engineering. Proficiency in Azure cloud platforms and vector databases like Pinecone is essential.
Full job description
The role operates within established architectural direction and is accountable for delivering reliable, maintainable, and production ready solutions that meet business, security, and compliance requirements.
The role:
Design, build, and test multi‑step agent workflows using established patterns such as ReAct, planner‑executor, and tool‑chaining
Integrate LLMs (i.e. Claude and OpenAI) with enterprise APIs and internal systems, including robust handling of retries, edge cases, and degraded states
Implement tool calling, function orchestration, and compensating actions to ensure workflows remain stable under failure conditions
Design and implement human‑in‑the‑loop controls, including approvals, escalations, and exception handling where required by business logic or risk considerations
Collaborate with product managers, domain experts, and technical stakeholders to refine requirements and translate them into technical designs
Develop, maintain, and version prompt logic and supporting documentation in line with agreed standards
Build and manage agent memory and retrieval mechanisms using vector databases and retrieval‑augmented generation (RAG), ensuring context remains relevant and high‑signal
Deploy AI services to production environments and actively monitor logs, traces, and metrics to detect and resolve issues
Contribute to test coverage, operational runbooks, and incident response practices in collaboration with QA and operations teams
Support continuous improvement of system reliability, performance, and maintainability
Related keywords
Agentic AIReActPlanner-ExecutorTool-ChainingLLMClaudeOpenAIFunction OrchestrationHuman-in-the-loopRAGVector DatabasesAzure AI FoundryMicrosoft Agent FrameworkLangGraphLangChainPinecone
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