Balbix9mo ago

Technical Team Lead – LLM Systems (LangGraph & Bedrock)

Delhi Ncr · Delhi NcrFull-Timelead

Data ScienceOtherManagementTechnical Team Lead

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Quick Summary

Overview

WHO WE ARE Balbix is the world's leading platform for cybersecurity posture automation. Using Balbix, organizations can discover,

Technical Tools

Data ScienceOtherManagementTechnical Team Lead

WHO WE ARE

Balbix is the world's leading platform for cybersecurity posture automation. Using Balbix, organizations can discover, prioritize and mitigate unseen risks and vulnerabilities at high velocity. With seamless data collection and petabyte-scale analysis capabilities, Balbix is deployed and operational within hours, and helps to decrease breach risk immediately.

Balbix counts many global 1000 companies among its rapidly growing customer base. We are backed by John Chambers (the former CEO and Chairman of Cisco), top Silicon Valley VCs and global investors. We have been called magical, and have received raving reviews as well as customer testimonials, numerous industry awards, and recognition by Gartner as a Cool Vendor, and by Frost & Sullivan.

About this Job

We’re hiring a hands-on Technical Team Lead to join our core LLM engineering team. You’ll work directly with the company's leadership to design, build, and scale intelligent reasoning pipelines using LangGraph and AWS Bedrock. This is not a coordination role, you’ll lead by example, write production-grade code, solve complex problems, and help grow a high-performing technical team from day one.

Architect and implement LangGraph-powered workflows and Bedrock-based inference.

Collaborate closely with the founder, and with the head of AI on system design and product strategy.

Build and manage stateful agent flows, tool orchestration, retries, and memory handling.

Debug real-world issues across prompts, agent logic, and runtime behavior.

Mentor and lead an initial team of 5 engineers, shaping engineering best practices.

Own the performance, cost-efficiency, and observability of LLM pipelines.

Strong CS fundamentals (B.Tech/M.Tech or equivalent) and 5+ years of backend or systems engineering experience.

Experience with LLM orchestration tools like LangGraph, LangChain, or Bedrock agents.

Deep Python skills with experience in async and event-driven programming.

Proven track record shipping and maintaining production systems.

Ability to work across layers — prompt logic, orchestration, infrastructure.

Familiarity with Langfuse or tracing/observability tooling.