> Markdown version of [/jobs/ext/2704215-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2704215-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:** TETRIX LLC
- **Location:** New York, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Web Scraping, Data Mining, Document Retrieval, Python (Programming Language), Open Source Technology, Large Language Models, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-ai-ml-engineer-tetrix-8290207

## About the Role

* You're proactive and hands-on - someone who takes initiative, figures things out, and keeps things moving.
 * You learn and adapt quickly - someone who approaches problems with creativity and energy, and is resourceful, adaptable and excited by tough challenges.
 * You're customer-oriented - whether building AI web scraping agents, data extraction pipelines, or AI chat features, you keep customers front of mind and focus on delivering accurate, auditable insights that save thousands of hours while creating delightful and efficient experiences.
 * You're collaborative - someone who values transparency, good communication, and knows that the best outcomes come from working well with others.
 * You're experienced and thoughtful - you're a strong AI/ML engineer with 5+ years building production-grade AI systems, particularly around LLMs, agents, evals, or data extraction/normalization pipelines. Strong Python skills are required. Experience shipping reliable ML features to real users (especially in data-heavy or fintech environments) is highly valued. Bonus points if you've contributed to open source.

## Description

* You'll build and own core AI/ML systems - designing and improving agentic AI workflows for automated document retrieval from dozens of private portals, our proprietary extraction and normalization engine that processes complex PDFs/Excels/reports, intelligent validation with full audit trails, and pipelines that turn unstructured private market data into accurate, structured, real-time insights using various techniques, including feedback loops or data gathering agents.
 * You'll brainstorm - We're not looking for someone to just take tickets-we want you in the room helping shape AI strategy, model choices, evaluation frameworks, and product direction.
 * You'll work with clients - From pitching customers, to designing features, to soliciting feedback, you'll do some non-engineering work. We believe in all-rounded team members.
 * You'll champion best practices and guide others - As a B2B SaaS platform, our technology needs to be secure, robust and scalable. You'll help set and maintain standards and mentor future team members.


## Related Videos

- [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app)
- [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data)
- [WeAreDevelopers LIVE – Web Scraping, Agents, Actors and more](https://www.wearedevelopers.com/videos/1764-wearedevelopers-live-web-scraping-agents-actors-and-more)
- [The R in RAG: Why retrieval is often the weakest link (and how to fix it)](https://www.wearedevelopers.com/videos/100005-the-r-in-rag-why-retrieval-is-often-the-weakest-link-and-how-to-fix-it)
- [Scrape, Train, Predict: The Lifecycle of Data for AI Applications](https://www.wearedevelopers.com/videos/1652-scrape-train-predict-the-lifecycle-of-data-for-ai-applications)
- [How to scrape modern websites to feed AI agents](https://www.wearedevelopers.com/videos/1446-how-to-scrape-modern-websites-to-feed-ai-agents)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)