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Applied AI Engineer

Protingent

-, WA(remote)

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JOB DETAILS
SKILLS
Aerospace and Defense, Application Programming Interface (API), Artificial Intelligence (AI), Clean Technologies, Continuous Improvement, Customer Support/Service, Data Management, Debugging Skills, Identify Issues, Information Technology & Information Systems, JAX (Java API for XML), Machine Learning, Medical Equipment, Memory Hardware, Network Architecture/Engineering, Neural Networks, Problem Solving Skills, Product Demonstration, Product Engineering, Production Costing, Python Programming/Scripting Language, User Interface/Experience (UI/UX), Writing Skills
LOCATION
-, WA
POSTED
3 days ago
Job Title:Applied AI Engineer

Position Description: Protingent Staffing has an exciting direct hire Applied AI Engineer with our client that is fully remote.

Job Description:
  • As an Applied AI Engineer, you will turn model capabilities into real product behavior.
  • You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.
  • This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.

Job Responsibilities:
  • Build and ship AI features end-to-end (model system user experience)
  • Design and iterate on prompts, tools, memory, and agent workflows
  • Turn raw model outputs into structured, reliable, and predictable behaviors
  • Debug issues across the full stack (model, orchestration, infra, UX)
  • Optimize for latency, cost, and production reliability
  • Develop lightweight evaluation frameworks to measure real-world performance
  • Work closely with product and engineering to translate ambiguous problems into working systems
  • ML models in production meet expected accuracy, latency, and reliability targets.
  • Production issues are identified quickly, debugged effectively, and root causes addressed.
  • Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
  • Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
  • Iterations on models and systems are driven by real-world signals and measurable improvements.

Job Qualifications:
  • Strong foundation in machine learning and modern neural network architectures.
  • Hands-on experience with training, fine-tuning, or deploying ML models
  • Ability to write clean, production-quality code
  • Comfort working across abstraction layers (model infra product)
  • Strong problem-solving skills in ambiguous, fast-moving environments
  • Bias toward shipping, iteration, and continuous improvement
Must Have:
  • Python
  • PyTorch / JAX
  • LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)
  • Inference / serving (e.g. vLLM)
  • Vector DB.

Job Details:
  • Job Type: Direct Hire
  • Pay Range: Market Rate
  • Location: Fully Remote.

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We’re passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.

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