over 1 year ago
Delhi, IndiaStaff+
Responsibilities
- Architect and implement LangGraph-powered workflows and AWS Bedrock-based inference.
- Build and manage stateful agent flows, tool orchestration, retries, and memory handling.
- Debug issues involving prompts, agent logic, and runtime behavior.
- Mentor and lead an initial team of five engineers and shape engineering best practices.
- Own the performance, cost-efficiency, and observability of LLM pipelines.
- Collaborate with the founder and head of AI on system design and product strategy.
Requirements
- Bachelor's or master's-level computer science education, or equivalent.
- At least 5 years of backend or systems engineering experience.
- Experience with LLM orchestration tools such as LangGraph, LangChain, or Bedrock agents.
- Deep Python skills, including async and event-driven programming.
- A proven record of shipping and maintaining production systems.
- Ability to work across prompt logic, orchestration, and infrastructure.
Benefits
- Work directly on a core AI capability and shape its development.
- Serve as the technical anchor for a small team building from first principles.
- Ship production code impacting global enterprise security.
- Competitive salary, meaningful equity, and a fast-moving builder culture.
Tech Stack
Categories
About Balbix
Balbix builds an enterprise cyber risk and exposure management platform that unifies data from 150+ security and IT tools to inventory assets, prioritize vulnerabilities by business impact, and quantify risk in dollars. It sells its software to security teams such as CISOs and vulnerability management leaders, often in large enterprises. Founded in 2015 and headquartered in San Jose, Balbix was acquired by Safe Security.