Software Engineer

Founding Software Engineer (Distributed Systems)

Location: Bangalore, India (On-site/Hybrid)

Type: Full-time

About XHawk.ai

Every company will eventually build its own Software Factory. XHawk.ai is building the infrastructure to make it possible.

The Role

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

What you'll do:

• Build the Brain: Architect and implement the intelligence layer that powers the XHAwk system
• Scale the Data Layer: Build high-performance context stores that can ingest, index, and reason over massive amounts of data
• Connect to 100s of external sources of data: Help build a new Extract, Interpret, and Store stack.

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 that other developers love to use.
• Massive Scale: You understand what it takes to build systems that can run across 100's of nodes and handle millions of API calls 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 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 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.