Full Stack Engineer, AI Systems

Protingent

  • -, WA
  • 27 days ago
  • Remote

    Highlights

    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 . Job Description: We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows.

    Numbers & Facts

    Location-, WA (
    Remote
    )

    Description

    Job Title: Full Stack Engineer, AI Systems

    Position Description: Protingent Staffing has an exciting direct hire Full Stack Engineer, AI Systemswith our client that is fully remote.

    Job Description:
    • We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows.
    • This includes designing how agents operate, fail, recover, and deliver consistent value to users.

    Job Responsibilities:
    • Build end-to-end product features across frontend, backend, and AI integrations
    • Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
    • Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions
    • Design real-time AI interactions with streaming, partial results, and tight latency constraints
    • Improve system reliability, observability, and fallback mechanisms
    • Collaborate closely with ML, backend, and product teams to ship features end-to-end
    • Continuously iterate based on real usage and failure modes
    • Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows
    • Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions
    • Reduce latency and improve responsiveness of AI interactions while maintaining output quality
    • Build robust fallback and recovery mechanisms for LLM and tool failures in production environments
    • Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring
    • Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems
    • Contribute to a product experience where AI feels proactive, consistent, and dependable over time

    Job Qualifications:
    • Strong experience in full stack engineering (frontend + backend)
    • Solid understanding of system design and API architecture
    • Experience working with LLMs, RAG systems, or AI-powered applications
    • Ability to handle ambiguity and make pragmatic engineering decisions
    • Strong ownership - able to take features from idea to production
    • Comfort working in fast-moving environments with evolving requirements
    Must Have:
    • Next.js
    • Python
    • NodeJs
    • Pytorch
    • OpenAI / Anthropic / open-source LLMs
    • SQl & noSQL
    • Kubernetes
    • Docker

    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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