Live opening · Posted 16 days ago

Staff Software Engineer

xhawk · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 16 days ago
Companyxhawk
LocationIndia (Remote)
Work modeNo
SourceLinkedin
Listed16 days ago

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About the role

Description supplied by the original job listing.

Staff Engineer
Location: Remote
Type: Full-time
About XHawk.ai
XHawk is building the infrastructure for an AI agent economy
Software is shifting from tools to workers. For the past 40 years, enterprises bought software to help people work. Over the next decade, they’ll increasingly buy outcomes delivered by AI workers. We’re creating the infrastructure businesses need to discover, deploy, manage, and pay AI workers securely at enterprise scale.
The Role
As a Staff Engineer, you will work directly with the early team to architect and build the core engine of XHawk.
What you’ll do:
Scale the Data Layer: Build high-performance context stores that can ingest, index, and reason over massive amounts of data
Who You Are
Polyglot & Versatile: You are comfortable moving between languages (Python, Go and Typescript) and cloud stacks. You pick the right tool for the job.
AI-Native Builder: You have hands-on experience building with LLMs (OpenAI, Anthropic, OpenCode, Hermes, Gemini, etc) and understand the challenges of context windows and agentic loops.
Systems Thinker: You understand how to build "headless" platforms and APIs.
Massive Scale: You understand what it takes to build systems that can run across 100's of nodes and handle millions of API calls and jobs every day
High Ownership: You thrive in an early-stage, zero-to-one environment. You don't wait for a ticket; you see a problem and solve it.
You've lived in adversarial real-world domains where the happy path is a myth. You enjoy adventures.
Bonus Points
You are comfortable working on 10s of tasks in parallel using coding tools.
Previous experience in a fast pace startup
Why Join Us?
Define a new Category: We aren't just building a tool; we are defining how AI agents and humans collaborate at scale
Founding Equity: Significant equity package commensurate with the early team role.
Hard Problems: We are solving complex technical challenges in distributed systems and data domains

Work arrangement
No

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