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+10K new in the last hour
Expedia · Posted Nov 9, 2026
Seattle, Washington, United States Hybrid Full-time · Mid 3+ years
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Seeking a backend-leaning full-stack engineer (70% backend) to build robust, scalable, and high-performance systems for insurance products.
total cash range for this position in Seattle is $119,000 to $166,500
Build robust, scalable, and high-performance mobile app features Solve complex business problems in fintech and insurance domains Design, build, and operate scalable APIs Write clean, maintainable, and testable code Troubleshoot and resolve issues Computer Science related field Nice to have: AI/ML medical dental vision paid time off Employee Assistance Program Public Service Division · Posted Nov 7, 2026
Lead development of cloud‑based software solutions for traffic and road IT, combining technical leadership with strategic oversight.
Design and develop scalable, resilient, and secure cloud‑based applications Champion best practices in software development and DevOps Implement coding and cybersecurity standards Guide agile development teams Define technical requirements and architecture strategies Nice to have: AI/ML solutions Nice to have: process design thinking Nice to have: low‑code platforms Nice to have: OutSystems True Talent Solutions Partners · Posted Nov 9, 2026
San Francisco, California, United States On-site Full-time · Manager $415K–$450K per year 10+ yearsLead a core engineering team building AI-powered products that transform complex tax documents into reliable structured data.
Base salary: $415,000 to $450,000 annually. Visa sponsorship is not available.
Manage and grow a team of senior, staff, and principal engineers while contributing code, reviewing designs, and debugging complex problems. Ship customer-facing, evaluation-driven AI products for document processing and structured data extraction. Coach engineers through direct feedback, support their technical and product judgment, and help them grow into broader roles. Lead hiring, onboarding, and team development as the organization scales. Partner with domain experts and customer-facing teams to connect engineering decisions to customer and business outcomes. True Talent Solutions Partners · Posted Nov 9, 2026
San Francisco, California, United States On-site Full-time $180K–$220K per year 4+ yearsBuild and own product features end to end across the database, backend, and frontend using Python, React, and AWS, develop and improve production AI agents using LangChain, LangGraph, and the Deep Agents framework, and work with customers to troubleshoot issues.
Base salary is $180,000 to $220,000 annually. Visa sponsorship is not available.
Build and own product features end to end across the database, backend, and frontend using Python, React, and AWS Develop and improve production AI agents using LangChain, LangGraph, and the Deep Agents framework Rebuild and take ownership of core product areas, including onboarding and other non-agent features Work with customers through messages and calls to troubleshoot issues and understand how they use the product Help establish product and engineering practices as an early team member Clera-AI · Posted Nov 9, 2026
Berlin, Germany On-site Full-time · Senior 3+ yearsOwn customer-facing product work from discovery through delivery and shape technical foundations for an early-stage AI software company.
Competitive salary and meaningful equity are offered. Visa sponsorship is not available.
Turn customer problems into full-stack product features Build AI-enabled workflows and shared infrastructure Set architectural direction across frontend, backend, databases, and infrastructure Design dependable LLM workflows with evaluation loops, guardrails, and observability Build real-time data pipelines, normalize data, and integrate with enterprise systems Dev.Pro · Posted Nov 9, 2026
Remote, Brazil +4 more Remote Full-time · Mid 7+ yearsLead Agile delivery for Embedded Finance Engine, coordinating multiple engineering teams, partners, and stakeholders to deliver API‑led, cloud‑native platforms.
São Paulo, São Paulo, Brazil Buenos Aires, Buenos Aires, Argentina Bogotá, Bogota, Colombia Santiago, Santiago Metropolitan Region, Chile Lima, Callao Region, Peru iProov · Posted Nov 9, 2026
Waterloo, United Kingdom +1 more Hybrid Full-time · Mid £0–£65K per yearOwn the full hiring life cycle for Technology roles at iProov globally, sourcing and closing specialist engineering and science talent.
Waterloo, United Kingdom London, England, United Kingdom Up to £65k (Base) + Company Performance Bonus (10%) + EMI Share Options + UK iProov Benefits
Own the full hiring life cycle for Technology roles at iProov globally Run a structured intake for every role Source directly and creatively in competitive markets Use AI as a core part of how you work Own the hiring data and use it to be persuasive Nice to have: AI tools Nice to have: LinkedIn Recruiter Nice to have: Boolean search Nice to have: ATS Raydar · Posted Nov 5, 2026
San Francisco, California, United States Hybrid Full-time · Senior $185K–$205K per yearBuild and release live software that applies AI to engineering work, taking features from first requirements through testing to launch.
Base salary: $185K to $205K
Build end-to-end AI-driven workflows that convert technical documents into structured outputs that engineers can review. Develop AI components that pull information out of technical papers, vendor sheets and engineering records, then organize it and draw conclusions from it. Connect language model features with exact computational logic and the surrounding application stack. Design test suites and evaluation methods that score accuracy, technical correctness, source traceability and practical value. Turn specialist know-how into software components others can reuse. Nice to have: prior work at a young company Nice to have: founding-engineer role Nice to have: accelerator program Nice to have: AI-centric consulting Nice to have: flight systems Raydar · Posted Nov 5, 2026
San Francisco, California, United States +1 more On-site Full-time · Senior $200K–$300K per yearSan Francisco, California, United States New York, New York, United States Base salary: USD 200,000 to 300,000 per year
Apply AI agents across the product to automate operational steps and decide how the team builds with AI-assisted tooling. Architect and lead core systems, including real-time matching and automated vetting pipelines. Own platform architecture with an eye toward needs a year or two ahead. Drive backend performance, reliability and scalability. Partner with the CTO on key architectural decisions and help build the platform the company runs on. Computer Science or other technical degree from a top-ranked university Nice to have: breadth of experience across agentic AI Nice to have: matching or recommendation systems Raydar · Posted Nov 4, 2026
San Francisco, California, United States +1 more On-site Full-time $175K–$300K per year 2–8 yearsBuild and refine AI-driven software in a small engineering group, owning features across the stack from data models to user-facing interfaces.
San Francisco, California, United States New York, New York, United States Base salary: $175K - $300K
Build and iterate on AI-driven software that automates internal analytical and operational workflows. Take full-stack features from design through production across Python and TypeScript. Partner with non-engineering colleagues to build tools that expand their capacity and output. Create evaluation frameworks, safety checks and reliability tooling for AI systems where errors carry real consequences. Help define engineering culture and architecture as part of an early, growing engineering team. Bachelor's degree in computer science or a related field from a top-25 university.
Own EFE delivery cadence, ceremonies, planning, dependencies, RAID, milestones, and reporting
Coordinate end‑to‑end integration roadmap across EFE, partners, and providers
Facilitate discovery and solutioning across product, technology, finance, legal, security, and operations teams
Create integrated delivery plans covering provider enablement, API contracts, data exchange, merchant journeys, and operational readiness
Manage provider workstreams as distinct integrations while converging on reusable EFE patterns Nice to have: AWS microservices Nice to have: React Nice to have: REST APIs Nice to have: webhooks Nice to have: S3
25 days Annual Leave 8 Bank Holidays Growth Shares allocated after passing probation Salary sacrifice schemes including Pension, Cycle To Work and Electric Car Scheme Nursery Sacrifice Scheme
Nice to have: marketplaces
Nice to have: recruiting Health, dental and vision coverage Flexible time off
Nice to have: Experience in healthcare or insurance technology