Senior AI Engineer

About Us

Who We Are

Left 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.

What We Do

• Digital 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
• Product Innovation: We build scalable platforms and products in lockstep with organizations, identifying and seizing new technology opportunities.
• Immersive: We create immersive, cross-media experiences that move beyond omnichannel thinking, blending digital, social, AI, and physical spaces to engage and delight.
• Applied AI: We transform AI from a tech tool to the infrastructure for business evolution—enhancing decision-making, unlocking new efficiencies, and expanding human capacity. Our AI solutions power predictive intelligence, sharper decision-making, and game-changing innovation.

Overview

LFL in Partnership with illumend

LFL 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.

Responsibilities

What You Will Do

We are seeking a Senior AI Engineer to design, build, and ship the AI-powered features at the core of the illumend platform. This is a hands-on engineering role: you will write production code every day, using modern AI development tools to move quickly in a fast-paced environment while keeping quality, security, and reliability high.

illumend works in a regulation-heavy space. Insurance policies, certificates, and contract requirements are dense with detailed rules. Your job is to build AI systems that handle that complexity behind the scenes so customers get simple, accurate results.

• Build and ship production AI features end to end, such as extracting and validating data from insurance documents, checking coverage against contract requirements, and AI assistants and agents that help users act on what they find
• Design LLM pipelines and integrations (prompting, structured outputs, tool use, retrieval) across Python/FastAPI backend services and React/TypeScript frontends
• Build evaluation sets and automated checks to measure accuracy, catch regressions, and improve model output over time, and monitor quality, latency, and cost in production
• Fully embed AI development tools (e.g., Claude Code, Cursor, GitHub Copilot) into your daily workflow to accelerate coding, refactoring, test generation, prototyping, and documentation, while reviewing and validating everything you ship
• Build fast, functional prototypes to test new AI capabilities, then iterate and harden them for production
• Dig into raw customer documents, data, edge cases, and API specs rather than relying on secondhand information
• Make pragmatic technical decisions that put stability, security, and ROI ahead of novel or overly complex tech

Required Skills

What You Will Need to be Successful

• Senior-level experience building production web applications, with strong Python (FastAPI) skills and working knowledge of React, TypeScript, Next.js, and PostgreSQL
• Hands-on experience shipping LLM-powered features to production, including prompt design, structured outputs, tool use and agents, and retrieval
• Experience evaluating AI output: building test sets, measuring accuracy, and handling failure cases such as hallucinations and low-confidence results
• Experience extracting structured data from unstructured documents (PDFs, scanned forms) is a strong plus
• Mastery of AI coding assistants and agents in daily engineering work, backed by a clear method for reviewing and validating their output
• Ability to quickly learn a complex, regulation-heavy B2B domain; insurance experience is a plus
• A strong commitment to engineering standards, maintainability, and security, balanced with business pragmatism
• Thrives in a lean, fast-paced environment; self-driven, adaptable, and comfortable owning features end to end with minimal supervision
• Clear written and verbal communication; able to explain AI tradeoffs and limitations to product and business partners and raise risks early

Equal Opportunities

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. 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.

Left 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.

Compensation

Compensation

The salary range for this role is $155,000 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. An employee’s position within the salary range will be based on several factors, including but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.