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Senior AI Full-Stack Staff Engineer ()

Talencore

Job Location:

San Francisco, CA - USA

Monthly Salary: USD 150000 - 175000

Experience Required: 8years

Posted: 24 May 2026 (30+ days ago)

Application Deadline: 21 August 2026

Vacancies: 1 Vacancy

Job Summary

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 $00 base bonus full benefits (see below)

What Youll 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 .
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

Employee Ownership Program - eligible employees share in the financial rewards as the company grows
Professional Development Opportunities access to learning and career growth initiatives
Owner Referral Program
Work-from-Home Reimbursement
Digital Health & Wellness Platform - online fitness and wellbeing resources
Canary Emergency Financial Assistance Program
Comprehensive Medical Dental and Vision Coverage
Life and AD&D Insurance
Confidential Employee Assistance Program (EAP)
Health Savings Account (HSA)
Short-Term Disability Coverage
Voluntary Benefits - supplemental accident critical illness and hospital insurance
Employee Discounts
401(k) Plan with company matching contributions
Paid Time Off Programs
11 Company-Paid Holidays

At Talencore we stand against racism and discriminatory practices. We stand against violence.

We proudly support and partner with organizations that lift people up so everyone can succeed and thrive and honour our candidates experiences perspectives and unique identity.

We are committed to continuing to make diversity equity and inclusion part of everything we do from how we work with our talented candidates to how we support our clients in building their diverse workforce.

Required Skills:

- 10 years of professional software engineering experience. - Experience in insurance financial services or other highly regulated industries. - Strong full stack expertise including React TypeScript REST APIs SQL and data modeling. - Proven hands-on experience using AI coding tools (such as Cursor Claude GitHub Copilot or similar) to deliver production software. - Demonstrated success introducing AI-assisted development practices to engineering teams. - Experience building enterprise-grade applications with strong emphasis on reliability security observability and scalability. - Solid knowledge of cloud infrastructure CI/CD and modern DevOps practices. - Familiarity with complex operational systems and third-party integrations. - Track record of improving engineering productivity and delivery speed through automation and AI. - Excellent communication and collaboration skills. - Bachelors degree in Computer Science Engineering or a related field (or equivalent practical experience).

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