Software Engineer

Software Engineer (Distributed Systems)

Location: India Remote

Type: Full-time

About XHawk.ai

XHawk is building the infrastructure for an AI agent economy, a marketplace where businesses can deploy, orchestrate, and pay AI agents for outcomes.

Software is shifting from tools to workers. For the past 40 years, enterprises bought software to help people work. Over the next decade, theyll increasingly buy outcomes delivered by AI workers. We are building the marketplace for AI-native services. Starting with data and engineering agents, were creating the infrastructure businesses need to discover, deploy, manage, and pay AI workers securely at enterprise scale.

The Role

As a Software Engineer, you will work directly with the early team to architect and build the core engine of XHawk.

What youll 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 100s 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 dont wait for a ticket; you see a problem and solve it.

Bonus Points

• You are comfortable working on 10s of tasks in parallel using Claude or Codex
• Familiarity with lexical search, vector embeddings, graphs, and query systems
• Previous experience in a fast pace startup
• You are comfortable building systems that can span clouds and geographies

Why Join Us

• Define the Category: We arent 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.