Lead Engineer, Agentic AI Workflows

NextHop Systems

Lead Engineer building AI-powered agentic workflows for business operations at cutting-edge AI infrastructure company. Collaborating with teams to simplify operations and decision-making.

Posted 6/11/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

CloudKubernetesPythonTypeScript

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account NextHop Systems Website LinkedIn All Job Openings 1 - 10 employees Automation, Assurance and leading cloud based software product development Lead Engineer, Agentic AI Workflows Job not on LinkedIn 🔥 3 minutes ago 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer Cloud Kubernetes Python TypeScript Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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. 🎯 Requirements
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.
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Hard Skills & Tools

PythonTypeScriptAI applicationsLLMsRAGtool callingworkflow enginesautomationcloud infrastructureAIOps

Soft Skills

ownershipcommunicationfast-paced environment