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Nexthop AI

Lead Engineer, Agentic AI Workflows

Posted 13 Days Ago
Be an Early Applicant
Hybrid
Bengaluru, Karnataka
Expert/Leader
Hybrid
Bengaluru, Karnataka
Expert/Leader
Lead design and build agentic AI workflows and copilots using LLMs, tools, and real-time data. Implement human-in-the-loop flows with approvals, guardrails, observability, and reliability; integrate APIs, databases, event streams, telemetry, and monitoring; partner with infrastructure, product, and business teams to deliver production features.
The summary above was generated by AI

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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