Full Stack Engineer, AI Systems

Protingent

-, WA(remote)

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JOB DETAILS

SKILLS

Aerospace and Defense, Application Programming Interface (API), Artificial Intelligence (AI), Clean Technologies, Customer Support/Service, Docker, Information Technology & Information Systems, JavaScript, Medical Equipment, Memory Hardware, NoSQL, Node.js, Open Source, Product Development, Production Systems, Python Programming/Scripting Language, Quality Management, Reliability Engineering, SQL (Structured Query Language), Systems Engineering, Systems Reliability, Systems Scalability, User Interface/Experience (UI/UX)

LOCATION

-, WA

POSTED

3 days ago

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.

About the Company

Protingent

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