Systems
Build production AI
Design and implement retrieval, model, prompt, tool-use, and agent workflows that behave predictably under real constraints.
Careers · W-2 · applications reviewed now
Principal AI/ML Engineer
Turn model capability into dependable product behavior. Own the hard decisions across models, retrieval, agents, evaluation, and production inference.
This is a full-time W-2 employee role, 100% remote within the United States. The anticipated start date and final written offer depend on completion of DSE's current financing plan.
Compensation · planned benefits
Principal scope with clear terms.
Base salary: $150,000-$195,000 per year. Planned benefits include employer-subsidized medical, dental, and vision coverage; paid time off; paid holidays; a 401(k); and remote-work equipment. Final plan details are provided before an accepted offer and begin when employment starts.
Applications are accepted and reviewed now. Applying does not create employment, compensation, or a promise of hire. Employment begins only after a signed written offer and normal onboarding requirements.
Responsibilities · applied AI
Make intelligence measurable.
Evaluation
Prove what works
Define datasets, success criteria, safety checks, and regression gates that turn model choice into an evidence-based decision.
Operation
Own the runtime
Improve latency, cost, observability, fallback behavior, and reproducibility from experiment through production.
Collaboration
Ship with the team
Work closely with product, platform, and security engineers so AI features remain usable, secure, and maintainable.
Qualifications · capability first
What you bring to the model path.
Required
Engineering rigor
- Strong Python and machine-learning engineering ability.
- Production experience with modern language-model systems.
- Evidence of rigorous evaluation and reproducible experimentation.
- Ability to explain accuracy, safety, latency, and cost tradeoffs.
- US work authorization. No specific degree is required.
Preferred
Useful depth
- Open-model, RAG, agentic-system, or model-serving experience.
- Experience with AI security or privacy-sensitive data.
- Cloud deployment and observability experience.
- Work in regulated, federal, or other high-scrutiny environments.
Apply · direct to DSE
Show us how you evaluate.
Email a concise introduction, résumé or LinkedIn profile, and one example of an AI system or evaluation program you owned to hiring@thedataexperts.us. Review the DSE Privacy Policy before applying. DSE is an equal opportunity employer and provides reasonable accommodation in the application process.