Live opening · Posted 2 days ago

AI Engineer

xhawk · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 2 days ago
Companyxhawk
LocationIndia (Remote)
Work modeYes
SourceLinkedin
Listed2 days ago

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About the role

Description supplied by the original job listing.

Software Engineer (AI Agents)
Location: Remote, India
Type: Full-time
About XHawk.ai
The future of work is humans and agents operating over a shared company brain. Few operators. Hundreds of agents. 24x7 execution. XHAWK is building the infrastructure to make this possible.
The Role
As an AI Engineer, you will work directly with the early team to architect and build the core engine of XHawk.
What you’ll do:
Run Models on bare-metal: Fine-tune and run models at scale.
Scale the Compute and Inference Layer: Build distributed systems to run millions of long-horizon agentic jobs every day and serving tokens to the AI jobs efficiently
Who You Are
Polyglot & Versatile: You are comfortable moving between languages (Python, Go, Rust, and Typescript) and cloud stacks. You pick the right tool for the job.
Familiarity with ML-Ops
AI-Native Builder: You have hands-on experience building with LLMs (OpenAI, Anthropic, OpenCode, Hermes, Gemini, etc)
Systems Thinker: You understand how to build "headless" platforms and A2A systems.
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.
Bonus Points
You are comfortable working on 10s of tasks in parallel
Familiarity with cloud infrastructure like VMs, containers and sandboxes
Previous experience in a fast pace startup preferred
You are comfortable building systems that can span clouds and geographies
Why Join Us?
Define the Category: We aren't just building a tool; we are defining how AI agents and humans collaborate in the agentic world
Founding Equity: Significant equity package commensurate with the early team role.
Hard Problems: We are solving complex technical challenges in distributed systems.

Work arrangement
Yes

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