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Full Stack Engineer (AI) - WFH

Confidential Client•Financial Services
Entry LevelFull-timeHybridN/A
United States
A Day Ago

The Full Stack Engineer (AI) at Confidential Client will design and develop scalable full-stack systems and APIs to support a financial AI agent focused on crypto protocol risk management. This role involves integrating AI/LLM technologies, building user-facing interfaces for real-time interaction, managing financial data pipelines, and collaborating closely with AI researchers and leadership in a hybrid remote work environment.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Artificial Intelligence / Software.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


About the Role

Confidential Client is hiring a Full Stack Engineer (AI) to deliver customer-facing features and internal services for AI-powered web applications. This is a full-time, work-from-home (WFH) position based in/near Boardman, OR (US). You will work closely with product, design, and ML teams to integrate models, build reliable front-end experiences, and ship production-grade services.


What You’ll Do

  • Build and own end-to-end features across front-end and back-end components for AI-driven products
  • Integrate machine learning models and inference APIs into web and backend services
  • Design and implement REST/GraphQL APIs and data flows between services and model endpoints
  • Write tests, monitor systems, and maintain CI/CD pipelines to ensure reliable releases
  • Collaborate with product managers, ML engineers, and designers to translate requirements into working software
  • Optimize UI performance and ensure accessibility, security, and scalability in production
  • Participate in code reviews, mentor peers, and contribute to architecture and roadmap discussions

Minimum Qualifications

  • 3+ years software engineering experience building production web applications (full-stack)
  • Strong proficiency in modern JavaScript/TypeScript and front-end frameworks (React or similar)
  • Backend development experience (Node.js, Python, Ruby, or similar) and building REST/GraphQL APIs
  • Experience integrating with external APIs and model inference endpoints
  • Familiarity with relational and/or NoSQL databases and data modeling
  • Practical experience with version control (Git), automated testing, and CI/CD workflows
  • Excellent communication skills and ability to work effectively on a distributed team

Preferred / Nice-to-Have

  • Prior experience working directly with ML/AI teams or integrating ML models into production apps
  • Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
  • Experience with observability tools (logs, metrics, tracing) and SRE practices
  • Knowledge of security best practices for web applications and APIs

What We Offer

  • Opportunity to work remotely with a focused product and AI engineering team
  • Exposure to applied AI projects and collaboration with ML researchers / engineers
  • Competitive benefits and a culture that values ownership, quality, and continuous learning

Location & Work Arrangement

  • Primary location: Boardman, OR, USA (role is WFH/remote-eligible)
  • Candidates must be authorized to work in the United States

About the Employer

This position is posted on behalf of a Confidential Client in the Artificial Intelligence / Software industry. Careertakes is managing the hiring process as the third-party recruiting platform.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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