Senior AI Engineer

Stagwell

. Build and ship production AI features end to end, including extracting and validating insurance-document data, checking coverage against contract requirements, and building AI assistants and agents .

Posted 11/2/2026full-timeRemote • California • United StatesSenior💰 $155,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping production AI features, with strong proficiency in Python and FastAPI, and experience in developing LLM-powered applications. Capable of analyzing complex data and ensuring high-quality AI outputs while maintaining engineering standards in a fast-paced environment.

Highest-signal resume keywords

Python ProgrammingFastAPI DevelopmentLLM-Powered Feature ShippingAI Quality MonitoringReact and TypeScript Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIReactTypeScriptNext.jsPostgreSQLAI Feature DevelopmentData ExtractionTest Set EvaluationAI Coding Assistants

Soft Skills

Clear CommunicationProblem-SolvingAdaptabilityDecision-Making

Tools & Technologies

Claude CodeCursorGitHub Copilot

Industry Keywords

Insurance DomainB2B EnvironmentRegulation Compliance

Tech Stack

Tools & technologies

JavaScriptNext.jsPostgresPythonReactTypeScript

About the role

Key responsibilities & impact

Build and ship production AI features end to end, including extracting and validating insurance-document data, checking coverage against contract requirements, and building AI assistants and agents
Design LLM pipelines and integrations involving prompting, structured outputs, tool use, and 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
Monitor AI quality, latency, and cost in production
Use AI development tools such as Claude Code, Cursor, and GitHub Copilot for coding, refactoring, test generation, prototyping, and documentation, while reviewing and validating shipped work
Build fast prototypes for new AI capabilities and iterate and harden them for production
Analyze raw customer documents, data, edge cases, and API specifications
Make pragmatic technical decisions prioritizing stability, security, and ROI

Requirements

What you’ll need

Senior-level experience building production web applications
Strong Python (FastAPI) skills
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 by building test sets, measuring accuracy, and handling 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, with a method for reviewing and validating their output
Ability to quickly learn a complex, regulation-heavy B2B domain; insurance experience is a plus
Commitment to engineering standards, maintainability, and security
Ability to thrive in a lean, fast-paced environment and own features end to end with minimal supervision
Clear written and verbal communication; ability to explain AI tradeoffs and limitations to product and business partners and raise risks early