Job Title: Senior AI Engineer – Agentic Systems & Orchestration
Experience Level: Senior (5+ years of software engineering experience)
Work Mode: Hybrid/Remote

Position Overview
We are seeking a AI Engineer to design, build, and maintain production-grade agentic systems and robust AI harnesses. In this role, you will bridge traditional software engineering (Python, .NET, up-to-date frontend) with advanced Generative AI pattern design. You will build deterministic control loops around non-deterministic LLM behaviors, implement end-to-end workflow orchestration, establish full observability, and create automated evaluation pipelines to ensure high-reliability AI deployment at scale.

Key Responsibilities
Agentic Architecture & Harness Engineering: Architect robust agent execution harnesses that manage context, enforce safety boundary limits, implement tool calling, and manage agile execution loops (ReAct, reflection, plan-and-execute).
Workflow Orchestration & Loops: Implement complex multi-step workflows using stateful orchestration engines.



Design resilient human-in-the-loop (HITL) checkpoints, automated retry logic, backoff mechanisms, and self-correcting execution loops.
Full-Stack Implementation: Develop core microservices and APIs in Python and .NET (C#) while building responsive, real-time user interfaces (React/TypeScript, Vue, or Angular) for stream tracking and human intervention.
Observability & Tracing: Instrument full-stack telemetry across agent execution graphs. Track trace IDs, latency bottlenecks, token consumption patterns, tool invocation success, and intermediate decision steps across complex agent runs.
Evaluation & Testing Frameworks (Evals): Build automated evaluation pipelines using LLM-as-a-Judge, unit evals, regression test suites, and energetic benchmarks to measure agent accuracy, hallucination rates, and task completion metrics before release.

Required Qualifications
Software Engineering Core
5+ years of professional software engineering

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