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, modern 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 dynamic 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
1. Software Engineering Core
5+ years of professional software engineering

📌 Artificial Intelligence Engineer (Ahmedabad)
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📍 Ahmedabad