{"id":3656102,"url":"https://alion.io/job/leftfieldlabs-senior-ai-full-stack-engineer","title":"Senior AI Full Stack Engineer","company":{"id":2971566,"name":"leftfieldlabs","domain":"leftfieldlabs.com","url":"https://alion.io/company/leftfieldlabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":130000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"FastAPI","optional":false},{"name":"Framer Motion","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"Lighthouse","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"Storybook","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-03T01:52:58Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T16:18:01Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Us\nWho We Are\nLeft Field Labs is the creative technology agency that builds what’s next. We partner with the world’s most ambitious brands to transform breakthrough technology into extraordinary human experiences. Since 2008, we’ve delivered end-to-end digital transformation services-from strategy to platform development to immersive experiences-for the biggest companies in the world, including Google, Amazon, and Meta.\nWhat We Do\nDigital Experience: We architect seamless digital ecosystems that simplify complexity and drive measurable impact. Whether launching new platforms or evolving legacy systems, we strike the perfect balance between innovation and pragmatism\nProduct Innovation: We build scalable platforms and products in lockstep with organizations, identifying and seizing new technology opportunities.\nImmersive: We create immersive, cross-media experiences that move beyond omnichannel thinking, blending digital, social, AI, and physical spaces to engage and delight.\nApplied AI: We transform AI from a tech tool to the infrastructure for business evolution-enhancing decision-making, unlocking new efficiencies, and expanding human capacity. The AI solutions power predictive intelligence, sharper decision-making, and game-changing innovation.\nOverview\nLFL in Partnership with illumend\nLFL is closely collaborating with illumend, an AI-first partnership acceleration platform that’s building solutions in the insurance sector. The partnership leverages 15 years of insurance compliance expertise with LFL's creative technology and applied AI capabilities. The illumend platform aims to make meaningful risk management accessible to all businesses by providing an intuitive interface for non-insurance professionals to track compliance.\nWho We Are Seeking\nLeft Field Labs is partnering with illumend to find an AI-native Senior Full Stack Engineer who ships production-grade code at high velocity, combining strong implementation skills with high ownership, architectural judgment, and reliable execution. This is a hands-on individual contributor role in a lean, fast-paced environment. Working closely with our Director of Engineering, you will own features across the entire product lifecycle-from initial concept and technical spec to production deployment, monitoring, and ongoing optimization.\nAI is central to how we work. You are expected to fully embed AI development tools and agents (e.g., Claude Code, Cursor, GitHub Copilot, ChatGPT) into coding, refactoring, testing, review, troubleshooting, and documentation, using them to multiply your individual output while taking full responsibility for validating everything you ship. You will also actively share the workflows that make the whole engineering team faster.\nResponsibilities\nWhat You Will Do\nEnd-to-End Feature & Backend Ownership\nParticipate in the entire product lifecycle, building complete, tested features across frontend (React, TypeScript, Next.js) and backend (Python, FastAPI, Node.js) services and PostgreSQL data models.\nArchitect and evolve backend features and APIs, ensuring a cohesive flow from backend to frontend while anticipating future scaling challenges.\nBreak down complex, ambiguous product requests into clear execution steps, refine technical specifications, and provide realistic estimates.\nPlatform Engineering & Architecture\nOwn platform stability, maintenance, and observability across cloud infrastructure (AWS/GCP) and CI/CD pipelines (GitHub Actions).\nEnsure production code meets high standards for security, performance optimization (Lighthouse 90+), WCAG accessibility, and scalable data modeling using SQLAlchemy/PostgreSQL.\nAccount for edge cases, error handling, complex animations/transitions (Motion/Framer Motion), and integration behavior before release.\nMake pragmatic technical decisions that prioritize stability, security, and ROI over novel or overly complex tech choices, and ruthlessly reduce technical clutter to keep systems simple.\nRapid Delivery & Domain Translation\nRapidly digest complex B2B insurance compliance requirements (policy and coverage rules, certificates of insurance, contract requirements, risk assessment) and translate them into clean, scalable full-stack architecture.\nAbstract dense regulatory and policy logic into simple, consumer-grade experiences that non-insurance users can understand at a glance.\nUse AI tools to build and ship working, production-ready application features quickly, iterating on them based on user feedback and real-world performance.\nGo to the source: dig into raw customer data, technical edge cases, and API specs rather than relying on secondhand information.\nAI-Native Workflows & Best Practices\nApply AI coding tools and agents daily (e.g., Claude Code, Cursor, GitHub Copilot) across coding, refactoring, test generation, code reviews, documentation, and debugging.\nUse AI to draft technical specs, explore edge cases, generate boilerplate, and compress the path from idea to working, tested code.\nRigorously review and validate AI-generated output for maintainability, security, and compliance with team standards.\nIdentify, document, and share new AI engineering workflows to elevate team output and onboarding efficiency.\nCross-Functional Collaboration & Process Leadership\nCollaborate closely with product, design, and business stakeholders to translate business goals into technically robust solutions.\nEngage in technical planning, including sprint planning, capacity planning, effort estimation, and release management.\nConduct thoughtful code reviews, maintain comprehensive documentation, and help mentor junior and peer engineers.\nRequired Skills\nWhat You Will Need to be Successful\nCore Technical Requirements\nSenior-level production experience with React, TypeScript, Next.js, and Tailwind CSS. Experience with design systems (Storybook, Atomic Design), WCAG accessibility standards, and animation libraries (Framer Motion)\nStrong experience with Python (FastAPI), Node.js, and RESTful/GraphQL API design\nPractical expertise in relational databases (PostgreSQL, SQLAlchemy), including migrations, schema design, and query optimization\nExperience with cloud platforms (AWS or GCP), automated testing frameworks, and CI/CD automation via GitHub Actions\nMastery of modern AI coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot) in daily engineering work, using them to generate boilerplate, draft specs, test edge cases, and multiply your delivery speed, backed by a clear methodology for reviewing and validating their output\nTrack record of shipping complete, production-ready application features quickly without sacrificing quality\nProfessional Experience & Mindset\nProven track record of taking broad requirements and converting them into high-quality, production-ready software with minimal supervision\nStrong feature ownership with an intuitive grasp of user experience and business context behind technical tickets\nAbility to quickly learn a complex, regulation-heavy B2B domain (insurance experience is a plus) and turn it into intuitive, user-friendly software\nThrives in a lean, high-velocity environment with minimal bureaucracy; self-driven, adaptable, and comfortable owning features end-to-end\nBusiness pragmatism: you focus effort on high-impact customer value over engineering vanity projects, while holding the line on maintainability, security, and standard engineering practices\nStrong empathy for the user and the ability to simplify complex workflows down to their essence\nExcellent written and verbal English skills; ability to communicate technical risks early, raise blockers with proposed solutions, and write clear technical documentation\nEqual Opportunities\nEqual Opportunities\nLeft Field Labs is an equal opportunity employer committed to providing equal employment opportunities to all applicants and team members, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. This includes the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance related to an applicant's criminal history (LAMC 189.00). Left Field Labs makes reasonable accommodations for handicapped and disabled team members.\nLeft Field Labs is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.\nCompensation\nCompensation\nThe salary range for this role is $130,000 to $175,000 and applies only to jobs performed in Culver City, California. This range represents the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. Please note that we may ultimately pay more or less than the posted range, and the range may be modified in the future. 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