Software Engineer

Fragment Data

• $130K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-7+ years of experience in software engineering
  • Ability to handle complex enterprise data systems
  • Strong skills in building foundational architectures
  • Experience with high-quality production code across the stack
  • Proficient in designing scalable and auditable systems

Responsibilities

  • Design and own systems for AI agents operating over enterprise data
  • Build a distributed agent pipeline for large data processing
  • Develop an automation editor with a visual-text hybrid approach
  • Engineer graph traversal and indexing systems for data reasoning
  • Define frameworks for self-assembling agents and workflows

Benefits

  • Opportunity to influence foundational architecture
  • Work in a fast-paced, innovative environment
  • Take ownership of projects with significant enterprise impact
  • Join a team with deep expertise in AI and manufacturing
  • Contribute to cutting-edge AI technology that streamlines workflows
Full Job Description
We're hiring Software Engineers to help build the systems that make this possible. Our team comes from enterprise AI and manufacturing and has been shipping agents in production environments since the beginning. We need engineers who want to own what they build.

Background

Deploying truly impactful AI Agents today requires teams of forward-deployed engineers, months of ontology design, hundreds of ad-hoc integrations, and thousands of lines of glue code. It's slow, expensive, brittle, and impossible to scale.

Fragment eliminates all of that. We've built a platform where:
  1. Ontology Agents autonomously construct the context layer, unifying structured + unstructured data, capturing tribal knowledge, and composing it all into a real-time ontology of the business.
  2. Self-assembling Process Agents automate workflows that would normally be manually and tediously handled by BPOs. Our first suite of agentic workflows, which drove our early traction, targets procurement.

Our product sits in the #1 budget priority for traditional enterprises right now: AI that streamlines labor, and actually works in production.

What You'll Do

You will design and own systems that don't exist yet -- the foundational architecture for AI Agents operating over complex enterprise data. For example:
  • Build a distributed agent pipeline that processes tens of millions of data points with deterministic, auditable, and multi-tenant-safe behavior
  • Define and develop an automation editor that takes a visual-text hybrid approach to workflow development. Enable dynamic, configurable design that autonomously adapts to the processes of a customer.
  • Engineer graph traversal + indexing systems enabling fast, lossless reasoning over our Unified Data Interface (UDI) and arbitrary data systems.
  • Define the core framework for self-assembling agents that compose and execute workflows autonomously -- safely, predictably, and with full traceability

This is not a "feature team" role. This is foundational engineering, shaping the platform that every agent and every enterprise workflow will rely on.

Who You Are

We're looking for a high-slope generalist with 3-7+ years of experience who gets restless when they're not building things that matter. You might describe yourself as someone who:
  • Learns ridiculously fast
  • Thrives in ambiguity
  • Thinks in systems, not tickets
  • Ships high quality work quickly
  • Gets excited by messy enterprise data and hard problems
  • Wants to own architecture, product, and customer impact
  • Has seen high quality production code across the stack


Interested? Reach out even if you're not sure you're a perfect fit. High-slope engineers rarely fit cleanly on paper.

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