> Markdown version of [/jobs/ext/4512897-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/4512897-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI/ ML Engineer

- **Company:** Fabric Inc.
- **Location:** New York, NY, United States
- **Salary:** $180,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Cursor, Graph Database, Python (Programming Language), Knowledge-Based Systems, OpenAI, Data Streaming, Systems Integration, Large Language Models, Claude Code, Backend, Reasoning Engines, Google Gemini, Golang
- **Published:** November 1, 2026
- **Apply:** https://www.juju.com/job/2_167575278

## About the Role

You are a technical reference point for AI decisions. xrbllit You raise the bar for how AI is built here.

Who You Are (Must-Haves)

 * 1 plus years building ML or applied AI systems in production
 * Startup experience working on a core product, not a side project
 * Strong Python skills and experience integrating with backend systems
 * Hands-on experience with AI-assisted coding tools like Cursor or Claude Code
 * Fintech experience or strong personal investment background
 * Comfortable owning outcomes, not just tasks

Nice-to-Haves (Not Deal Breakers)

 * Experience with LLM reasoning systems or knowledge graphs
 * Exposure to Golang-based ML integrations
 * Prior experience supporting investor-facing products

## Description

You have built real AI systems that ship, break, and get fixed under pressure.

You care less about model demos and more about decisions that move capital.

You want your work used daily by professional investors, not buried in notebooks.

You are comfortable owning hard problems end to end.

If you want a calm job optimizing benchmarks, this is not it.

Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first.

The Role, In Plain English

You will build and evolve the AI systems that power our investment insights.

This role exists because off-the-shelf models and generic pipelines are not enough.

You will work at the intersection of reasoning engines, proprietary data, and real market impact.

Your work directly affects how investors understand earnings, risk, and market catalysts.

What You'll Be Responsible For

 * Design, fine-tune, and deploy ML and LLM-driven systems used in production by professional investors
 * Build and maintain inference pipelines that are fast, observable, and reliable
 * Integrate OpenAI, Gemini, and Anthropic models into reasoning and knowledge systems
 * Work closely with backend engineers to productionize models in Golang-based services
 * Improve signal quality, not just model accuracy
 * Review code and designs with a bias toward long-term maintainability

What "Good" Looks Like in This Role

After 3 months:

You understand the product, data flows, and investor use cases deeply. You ship meaningful improvements.