Senior AI Full-Stack Staff Engineer (TypeScript/Node.js)

๐Ÿข Talencore ยท all Talencore jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 150,000 - 175,000 / annual
๐Ÿ“… Posted 2026-07-22 ยท via Himalayas
๐Ÿท Full-Stack-Engineering,Backend-Engineering,AI-Engineering,Senior-Full-Stack-AI-Engineer,Senior-Full-Stack-AI-Developer,Technology-Leadership,Sr.-Staff-AI-Engineer,Software-Engineer
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Our client is a fast-growing, technology-driven specialty insurance platform that is transforming how commercial insurance products are built, distributed, and serviced. Backed by a leading private equity firm, the company combines deep industry expertise with modern engineering, data, and AI to deliver innovative solutions at scale.

The company is investing heavily in AI-enabled engineering practices, and is looking for a hands-on Senior Staff Engineer who can help raise the technical bar, accelerate delivery, and guide small engineering pods through complex product work.

This is a hands-on technical leadership role for someone who enjoys building, designing, and shipping software - not just advising from a distance. You will lead complex projects end-to-end, write production code, guide engineers, partner closely with product and business stakeholders, and help the team adopt more advanced AI-assisted development practices. You will act as a technical lead within small project-based pods, helping with architecture, task breakdown, code quality, delivery execution, and team mentorship.

Employment Type: Full-Time Permanent

Location: Remote, but MUST be physically located in the US.

Compensation: USD $150,000-175,000 base + bonus + full benefits (see below)

What You'll Do:

- Design, build, and ship full stack software across backend services, APIs, data layers, and user-facing applications.

- Lead small engineering pods through complex, high-impact projects from discovery through delivery.

- Write production code while also guiding solution design, architecture, and technical decisions.

- Break down business and product requirements into clear technical plans and executable tasks.

- Partner with product managers, QA, business stakeholders, and engineering leadership to deliver practical, scalable solutions.

- Own technical quality across performance, reliability, maintainability, security, and user experience.

- Lead backend-heavy development involving APIs, third-party integrations, and internal platform capabilities.

- Support database design, proof-of-concepts, integration planning, and technical trade-off discussions.

- Help unblock engineers through code review, design guidance, troubleshooting, and hands-on problem solving.

- Use AI coding tools and agents to accelerate development, testing, documentation, and delivery workflows.

- Mentor engineers on effective AI-assisted development practices, including prompting, task decomposition, review, and validation.

- Step into complex or time-sensitive projects and help bring them to a successful outcome.

Requirements

- 10+ years of professional software engineering experience.

- Strong hands-on full stack engineering background, with heavier depth in backend development.

- Advanced experience with TypeScript and Node.js .

- Experience with backend frameworks such as NestJS , Express, or similar.

- Strong experience designing and building REST APIs and third-party integrations.

- Solid frontend familiarity with React .

- Experience working in AWS environments.

- Experience with NoSQL databases such as DynamoDB .

- CI/CD experience, preferably with GitHub Actions or similar tools.

- Container experience such as ECS , Docker, or Kubernetes.

- Proven ability to design solutions end-to-end, not just execute pre-defined requirements.

- Experience acting as a technical lead for small engineering teams or project pods.

- Strong ability to work independently in a lean, fast-moving engineering environment.

- Strong product mindset and comfort working directly with business and product stakeholders.

- Ability to explain technical concepts clearly to both technical and non-technical audiences.

- Practical experience using AI coding tools beyond basic prompt-and-response usage.

- Experience introducing AI-assisted development practices to an engineering team.

- Architecture or solution design experience close to architect level.

Benefits

- Em

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