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Salary
$140k – $232k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Jobgether is a Belgian recruitment platform built entirely around remote and flexible work, aggregating openings from thousands of employers that allow work from outside an office. Its matching engine ranks roles against a candidate's skills, seniority and stated preferences on location and flexibility, rather than leaving people to filter a keyword search, and it verifies how genuinely remote each posting is. The company also runs an AI screening layer that shortlists applicants for employers, and publishes research and guidance on distributed work practices alongside the job marketplace itself.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Full-Stack Engineer based in United States.

This role offers the opportunity to build customer-facing products across modern web and applied AI technologies.

You will work across backend, frontend, and LLM-integrated experiences, taking features from concept through production.

The position combines hands-on full-stack engineering with opportunities to develop deeper expertise in agents, MCP, and AI-powered product functionality.

You will join a lean, growing engineering team where flexibility and broad technical ownership are highly valued.

Your work will directly contribute to APIs, user interfaces, data flows, authentication, and intelligent product experiences.

You will collaborate closely with engineering colleagues while helping shape shared development practices and technical standards.

This is an ideal opportunity for an engineer who enjoys variety, autonomy, and building practical AI capabilities into real-world software.

Accountabilities

    • Own and deliver end-to-end product features across Node.js and Express backends and React/Tailwind frontends.
    • Build and maintain APIs, user interfaces, data flows, and supporting services for customer-facing functionality.
    • Contribute to platform patterns related to data management, authentication, and service architecture.
    • Integrate LLM-powered functionality into product experiences in collaboration with AI-focused engineering team members.
    • Connect frontend applications with LLM and MCP endpoints while handling streaming responses, errors, and degraded states effectively.
    • Contribute to AI evaluation workflows, fixtures, testing, and supporting development tools.
    • Apply full-stack expertise across backend, frontend, and AI implementation needs as priorities evolve.
    • Participate in code reviews, documentation, and the continuous improvement of shared engineering practices.
    • Use AI-assisted coding tools effectively as part of the day-to-day software development workflow.
    • Take on additional engineering responsibilities as required by the team and business priorities.
    • Requirements

      • 3+ years of professional software engineering experience, including production experience delivering full-stack applications.
      • Strong proficiency in JavaScript or TypeScript across Node.js backend and React frontend development.
      • Practical experience working with document-oriented or NoSQL databases such as MongoDB.
      • Solid understanding of building and consuming REST APIs and working with JSON-based contracts.
      • Genuine interest in AI agents, MCP, and applied AI, with the motivation to develop deeper technical expertise in these areas.
      • Demonstrated fluency with AI coding tools such as Claude, Cursor, or GitHub Copilot in daily development workflows.
      • Familiarity with Anthropic, OpenAI, or other LLM provider SDKs is preferred.
      • Exposure to MCP, agent frameworks, or applications incorporating LLM-powered functionality is preferred.
      • Experience with cloud infrastructure, particularly AWS, and CI/CD pipelines is an advantage.
      • Experience working in regulated software environments such as SOC 2, HIPAA, GxP, or 21 CFR Part 11 is preferred.
      • Familiarity with life-sciences SaaS environments is a plus.
      • Knowledge of Passport, OAuth, OIDC, or comparable authentication patterns is beneficial.
      • A bachelor’s degree in computer science, engineering, or a related discipline is preferred.
      • Relevant technical certifications are welcomed.
      • Benefits

        • Fully remote work environment.
        • Flexible working schedules designed to support work-life balance.
        • Generous vacation policy and paid time off.
        • Affordable health coverage and employee-focused benefits.
        • Annual bonus opportunities.
        • Opportunity to work across full-stack web development and applied AI engineering.
        • Exposure to LLMs, AI agents, MCP, and emerging AI development practices.
        • High level of technical variety and ownership within a lean, growing engineering team.
        • Collaborative environment with opportunities to contribute to engineering standards, tooling, and development practices.
        • Opportunity to build products with real-world customer impact while developing expertise in rapidly evolving technologies.
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