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Lead Engineer, Agentic AI Workflows

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Job Description - Lead Engineer, Agentic AI Workflows


Nexthop.ai builds cutting-edge solutions for large-scale AI infrastructure. The team brings deep expertise in hardware, software, networking, cloud, and AI with a fast-moving startup culture. We are looking for a Lead Engineer, Agentic AI Workflows to build AI-powered systems where agents and humans work together to simplify operations and decision-making.



What You’ll Do



  • Build agentic AI workflows for business operations and tooling.

  • Design human-in-the-loop workflows with approvals, escalation, guardrails, and operator feedback.

  • Develop AI copilots and assistants using LLMs, tools, APIs, telemetry, logs, and real-time system data.

  • Create reusable patterns for agent orchestration, tool calling, RAG, workflow automation, and task execution.

  • Work closely with Infrastructure, product, business teams to turn AI ideas into working product features.



What We’re Looking For



  • 10+ years of software engineering experience in backend, full-stack, AI platforms, automation, cloud, or infrastructure systems.

  • Hands-on experience building AI applications using LLMs, agents, RAG, tool calling, copilots, or workflow engines.

  • Strong Python and/or TypeScript skills.

  • Experience integrating with APIs, databases, event streams, telemetry, logs, or monitoring systems.

  • Good understanding of reliability, safety, latency, cost, observability, and failure handling in AI workflows.

  • Strong ownership, communication, and ability to work in a fast-paced startup environment.



Bonus



  • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, OpenAI APIs, Anthropic APIs, or similar frameworks.

  • Background in AIOps, networking, Kubernetes, observability, cloud infrastructure, or real-time systems.

  • Experience building chat-based assistants, operational copilots, or automation platforms.



Why Join



  • Startup energy with an experienced team.

  • Build practical agentic AI systems that combine automation with human judgment.

  • High-impact role with ownership from concept to production impacting business decisions.

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