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3 дня назад

Technical Team Lead – LLM Systems (LangGraph & Bedrock)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Technical Team Lead – LLM Systems (LangGraph & Bedrock) (Python/LLM orchestration): Designing, building, and scaling intelligent reasoning pipelines with LangGraph and AWS Bedrock, with an accent on stateful agent flows, tool orchestration, and production reliability. Focus on debugging prompt and runtime behavior, optimizing pipeline performance and cost, and leading a five-engineer team through hands-on technical work.

Location: Delhi NCR, India; hybrid workplace

Company

hirify.global develops a cybersecurity posture automation platform that helps enterprises discover, prioritize, and mitigate risks and vulnerabilities using large-scale data analysis.

What you will do

  • Architect and implement LangGraph-powered workflows and AWS Bedrock inference.
  • Build stateful agent flows with tool orchestration, retries, and memory handling.
  • Debug prompts, agent logic, and runtime behavior in production systems.
  • Own the performance, cost efficiency, and observability of LLM pipelines.
  • Mentor and lead an initial team of five engineers while establishing engineering practices.
  • Collaborate with company leadership and the head of AI on system design and product strategy.

Requirements

  • Strong computer science fundamentals and a B.Tech, M.Tech, or equivalent qualification.
  • 5+ years of backend or systems engineering experience.
  • Experience with LLM orchestration tools such as LangGraph, LangChain, or Bedrock Agents.
  • Deep Python skills, including asynchronous and event-driven programming.
  • Experience shipping and maintaining production systems.
  • Ability to work across prompt logic, orchestration, and infrastructure.

Nice to have

  • Familiarity with Langfuse or other tracing and observability tools.
  • Experience with vector stores, prompt versioning, or RAG architectures.
  • Background in cybersecurity, risk reasoning, or enterprise software.

Culture & Benefits

  • Opportunity to shape a core AI capability and build technology from first principles.
  • Hands-on work on production systems affecting enterprise security.
  • Competitive salary and meaningful equity.
  • Culture centered on ownership, customer focus, curiosity, innovation, teamwork, and impact.
  • Fast-moving environment with bottom-up innovation and career growth opportunities.

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