Posted 11 months ago

Technical Team Lead – LLM Systems (LangGraph & Bedrock)

DelhiRemoteFull-time

AI Summary

Technical Team Lead will architect and implement LangGraph-powered workflows and Bedrock-based inference, lead a small engineering team, and own the performance and observability of LLM pipelines within a cybersecurity context.

About this role

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.

You Will

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.

You Have

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.

Bonus to Have

Familiarity with Langfuse or tracing/observability tooling.

Experience with vector stores, prompt versioning, or RAG architectures.

Background in cybersecurity, risk reasoning, or enterprise software.

Why Join Us

Work directly to shape a core AI capability

Be the technical anchor for a small, elite team building from first principles

Ship code that runs in production and impacts global enterprise security

Competitive salary, meaningful equity, and a fast-moving builder culture

Skills

Agent FlowsAsyncIOAWS BedrockBedrockCost OptimizationDistributed SystemsEvent-driven ProgrammingInference PipelinesLangChainLangGraphLLM OrchestrationMemory HandlingObservability ToolingPerformance OptimizationPrompt VersioningPythonRAG ArchitecturesRetrials/retriesTool OrchestrationTracingVector Stores