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Applied AI Engineer

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Onsite

Applied AI Engineer

Toptal

Applied AI Engineer

Skills

PythonMachine LearningAI

13 days ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

13 October 2026

What they need


We’re looking for a Senior Applied AI Engineer to help design, build, and optimize production-grade agentic AI solutions. You’ll work alongside an established platform engineering team and focus on turning AI concepts into reliable, scalable software, not pure research. The core of the role is making AI systems measurably better in production. You’ll design meaningful evaluations, tune prompts and model behavior, refine agent orchestration, and work with engineers, product teams, and business stakeholders to raise quality, reliability, and performance.

What You’ll Do

  • Design, develop, and optimize production-grade agentic AI solutions.
  • Design and run rigorous evaluations that improve prompts, model behavior, agent orchestration, reliability, and performance.
  • Interpret evaluation and benchmarking results and turn them into concrete engineering improvements.
  • Define and track metrics for AI quality, reliability, and performance in production.
  • Build and integrate AI capabilities across APIs, data pipelines, backend systems, and AI platforms.
  • Work closely with platform engineers to ship maintainable, production-quality solutions.
  • Partner with product teams and business stakeholders to translate requirements into reliable AI behavior.

What You Bring

  • Deep expertise in machine learning and applied AI.
  • A track record of building and deploying production AI/ML services.
  • Strong software engineering and coding skills.
  • Hands-on experience developing or optimizing LLM- and agent-based applications.
  • Strong command of prompt engineering and optimization.
  • Strong knowledge of model evaluation and benchmarking, including designing evals and interpreting results.
  • A solid understanding of how to measure AI quality, reliability, and performance.
  • Strong knowledge of agent behavior and orchestration patterns.
  • Experience with APIs, data pipelines, backend systems, and AI platforms.
  • Familiarity with modern AI tools and frameworks and with major cloud environments.
  • Excellent communication skills and experience collaborating with engineers, product, and business stakeholders.

Nice to Have

  • Strong Python experience.
  • A background as an Applied AI Scientist, AI Engineer, or Machine Learning Engineer.

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