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# Founding AI/ML Engineer

- **Company:** David Joseph & Company
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Systems, Distributed Systems, Python (Programming Language), Machine Learning, TypeScript, Pytorch, Large Language Models, Backend, Fastapi, Build Management, Machine Learning Operations
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3a58063d18b1bba5

## About the Role

Do you have experience in Model deployment?, * 3+ years of engineering experience (4-6+ preferred)

 * 2+ years of hands-on applied ML experience
 * Strong backend development skills in Python
 * Experience with ML Ops frameworks such as FastAPI, LangChain, PyTorch
 * Proven track record deploying production-grade ML systems
 * U.S. work authorization (no visa sponsorship available)
 * Willingness to undergo FBI or CJIS background clearance

Preferred Experience

 * Built secure distributed systems using Python, Go, or TypeScript
 * Experience across both infrastructure and model-level implementation
 * Worked on real-time or high-throughput data systems
 * Successfully shipped ML systems in production environments, You are comfortable operating in early-stage environments and thrive in zero-to-one builds. You combine strong backend engineering fundamentals with real-world ML deployment experience and understand the security and compliance requirements of sensitive data systems.

## Description

You will work across infrastructure and model deployment, building secure, distributed systems in highly sensitive environments., * Design and scale backend infrastructure for AI-driven systems

 * Build and deploy applied ML systems in production
 * Architect retrieval pipelines and integrate LLM and VLM technologies
 * Process and manage high-volume multimodal datasets (video, audio, text)
 * Develop secure distributed systems that meet strict compliance standards
 * Own end-to-end deployment from architecture through production


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- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
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- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)

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