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Applied AI Engineer
Spectraforce
Seattle, Washington

5 days ago

Job Description

 
Job Title: Applied AI Engineer
Location: 100% Remote
Full-Time Role
 
Role
  • 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.
 
Focus
  • 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
 
Tech Stack
  • Python
  • PyTorch / JAX
  • LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)
  • Inference / serving (e.g. vLLM)
  • Vector DB
 
Ideal Experience
  • 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
 
Outcomes
  • 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.
 
  
Applicant Notices & Disclaimers
  • For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $150000.00/Yearly - $180000.00/Yearly.

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