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Principal Platform AI Engineer

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Onsite

Principal Platform AI Engineer

Digital Prospectors

Principal Platform AI Engineer

Skills

RustTypescriptPythonGolangAI

16 days ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

10 October 2026

What they need


Senior AI Platform Engineer

Location: Dallas–Fort Worth, TX preferred

Contract length: Approximately 6 months before potential conversion

Requirement: U.S. citizenship

Digital Prospectors is seeking a Senior AI Platform Engineer to build and operate AI platform capabilities in controlled environments. This role combines hands-on software engineering, model deployment, developer tooling, and systems integration. You’ll help turn prototypes into reliable production services and support engineering teams adopting the platform.

What you’ll do

  • Build core platform services, shared libraries, and APIs with testing, documentation, and operational support.
  • Deploy and operate open-weight models on self-managed infrastructure. Optimize inference performance through model selection, quantization, and GPU utilization while accounting for cost, latency, and data boundaries.
  • Develop AI-assisted coding tools, including code-aware retrieval, IDE and toolchain integrations, agentic workflows, and evaluation capabilities.
  • Build Model Context Protocol (MCP) servers and integrations that connect internal systems and data sources, with appropriate schemas, authentication, access scoping, and error handling.
  • Improve production reliability through observability, evaluation pipelines, cost management, and operational handoff.
  • Provide reference implementations, review designs, and mentor engineers using the platform.

Required qualifications

  • Bachelor’s degree and 8 years of relevant experience; master’s degree and 5 years; or PhD and 3 years.
  • Strong hands-on experience with Python and at least one of Go, Rust, or TypeScript.
  • Production experience deploying and operating open-weight models on self-managed infrastructure.
  • Experience building LLM-based coding or developer tools, including code retrieval, context handling, and toolchain integration.
  • Experience with LLM orchestration, retrieval, tool calling, and evaluation.
  • Experience delivering MCP servers, tool-calling integrations, or similar agent-to-system connectors to production users.
  • Strong systems integration experience across APIs, event streams, data pipelines, and identity.
  • A track record of delivering complex technical work to production independently.

Preferred qualifications

  • Experience delivering solutions for the Department of Defense, intelligence community, or defense industrial base, including work in accredited or air-gapped environments.
  • Experience with fine-tuning, distillation, or other model adaptation with measurable results.
  • Open-source contributions or published work related to agents, MCP, or open-weight models.

POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment.

Come see why DPC has achieved:

  • 4.9/5 Star Glassdoor rating and the only staffing company (< 1000 employees) to be voted in the national Top 10 ‘Employee’s Choice - Best Places to Work’ by Glassdoor.
  • Voted ‘Best Staffing Firm to Temp/Contract For’ 8 consecutive years in a row by Staffing Industry Analysts as well as a ‘Best Company to Work For’ by Forbes, Fortune and Inc. magazine.

As you are applying, please join us in fostering diversity, equity, and inclusion by completing the Invitation to Self-Identify form today!

www.LoveYourJob.com

Job # 19041

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