[Hiring] Senior AI Full Stack Engineer @Stagwell Global

Role Description

Left 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.

AI 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.

Responsibilities

• End-to-End Feature & Backend Ownership:
  • Participate 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.
  • Architect and evolve backend features and APIs, ensuring a cohesive flow from backend to frontend while anticipating future scaling challenges.
  • Break down complex, ambiguous product requests into clear execution steps, refine technical specifications, and provide realistic estimates.
• Platform Engineering & Architecture:
  • Own platform stability, maintenance, and observability across cloud infrastructure (AWS/GCP) and CI/CD pipelines (GitHub Actions).
  • Ensure production code meets high standards for security, performance optimization (Lighthouse 90+), WCAG accessibility, and scalable data modeling using SQLAlchemy/PostgreSQL.
  • Account for edge cases, error handling, complex animations/transitions (Motion/Framer Motion), and integration behavior before release.
  • Make 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.
• Rapid Delivery & Domain Translation:
  • Rapidly 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.
  • Abstract dense regulatory and policy logic into simple, consumer-grade experiences that non-insurance users can understand at a glance.
  • Use AI tools to build and ship working, production-ready application features quickly, iterating on them based on user feedback and real-world performance.
  • Go to the source: dig into raw customer data, technical edge cases, and API specs rather than relying on secondhand information.
• AI-Native Workflows & Best Practices:
  • Apply AI coding tools and agents daily (e.g., Claude Code, Cursor, GitHub Copilot) across coding, refactoring, test generation, code reviews, documentation, and debugging.
  • Use AI to draft technical specs, explore edge cases, generate boilerplate, and compress the path from idea to working, tested code.
  • Rigorously review and validate AI-generated output for maintainability, security, and compliance with team standards.
  • Identify, document, and share new AI engineering workflows to elevate team output and onboarding efficiency.
• Cross-Functional Collaboration & Process Leadership:
  • Collaborate closely with product, design, and business stakeholders to translate business goals into technically robust solutions.
  • Engage in technical planning, including sprint planning, capacity planning, effort estimation, and release management.
  • Conduct thoughtful code reviews, maintain comprehensive documentation, and help mentor junior and peer engineers.

Qualifications

• Senior-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).
• Strong experience with Python (FastAPI), Node.js, and RESTful/GraphQL API design.
• Practical expertise in relational databases (PostgreSQL, SQLAlchemy), including migrations, schema design, and query optimization.
• Experience with cloud platforms (AWS or GCP), automated testing frameworks, and CI/CD automation via GitHub Actions.
• Mastery of modern AI coding assistants and agents (e.g., Claude Code, Cursor, GitHub Copilot) in daily engineering work.
• Track record of shipping complete, production-ready application features quickly without sacrificing quality.

Requirements

• Proven track record of taking broad requirements and converting them into high-quality, production-ready software with minimal supervision.
• Strong feature ownership with an intuitive grasp of user experience and business context behind technical tickets.
• Ability to quickly learn a complex, regulation-heavy B2B domain (insurance experience is a plus) and turn it into intuitive, user-friendly software.
• Thrives in a lean, high-velocity environment with minimal bureaucracy; self-driven, adaptable, and comfortable owning features end-to-end.
• Business pragmatism: focus effort on high-impact customer value over engineering vanity projects.
• Strong empathy for the user and the ability to simplify complex workflows down to their essence.
• Excellent written and verbal English skills; ability to communicate technical risks early, raise blockers with proposed solutions, and write clear technical documentation.

Equal Opportunities

Left 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.

Compensation

The 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.