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Posted May 15

Staff AI Engineer

at Newfront

United StatesHybrid
NodePythonTypeScriptnodejs

Responsibilities

  • - Drive rapid experimentation cycles using modern AI development practices, moving from concept to deployed solution in weeks while maintaining quality through automated testing and progressive rollout strategies.
  • - Own the complete product development lifecycle for AI initiatives, from initial problem discovery and technical design through frontend interfaces that make AI capabilities intuitive for non-technical users.

Requirements

  • We're deploying autonomous systems that act as placement agents, fractional AI analysts, and intelligent workflow orchestrators – not just augmenting human work, but fully automating entire categories of tasks.
  • #LI-Remote WHAT YOU’LL BE RESPONSIBLE FOR: - Build 0-1 AI systems that transform core brokering workflows – from intelligent submission processing that auto-extracts data from 100+ page documents and routes complex commercial policies between AI agents and expert brokers, to autonomous AI that enables brokers to manage 1000+ client renewals simultaneously, owning the full stack from prototype to production.
  • - Ship production-ready AI features that deliver measurable impact – reducing quote turnaround time by 80%, increasing broker capacity by 10x, and improving placement success rates through intelligent market matching and risk assessment.
  • - Develop the next generation of AI talent by mentoring engineers on production AI systems, sharing learnings from real-world deployments, and establishing best practices for building reliable AI in financial services.
  • QUALIFICATIONS: - BS, MS or PhD in computer science, or related field, or equivalent work
  • experience in software engineering, machine learning, or AI/ML application development is required. - Strong programming skills in Python. -
  • Experience with modern development and deployment practices (e.g., containerization, CI/CD).
  • - A track record of leading AI/ML projects.
  • - Passion for staying up-to-date with the latest advancements in AI/ML and applying them to real-world problems.
  • - Strong problem-solving skills and the ability to take a pragmatic and efficient approach to tackling challenges.
  • - Excellent collaboration and communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
  • Experience deploying or leveraging machine learning models and Large Language Models (LLMs) to power business applications. - Knowledge of state-of-the-art LLM techniques, models, and vendors. - Familiarity with LLM and related frameworks, including extracting structured data from unstructured text. -
  • Experience with popular AI/ML libraries and frameworks. - Familiarity with DevOps practices, cloud infrastructure, authorization, authentication, and search infrastructure. - Understanding of machine learning essentials and the ability to collaborate effectively with data scientists. -
  • Experience with JavaScript backend frameworks such as Node.js, as well as knowledge of TypeScript.

Experience

  • experience is required. - 8+ years of

Benefits

  • You'll join a team creating agentic services that invisibly handle the routine insurance work that consumes 80% of brokers' time, freeing them to focus on high-stakes strategy and relationship building.
  • This position is a salary, exempt, and full-time position and reports to the VP of Engineering, Data.
  • - Establish rigorous evaluation frameworks for AI in regulated insurance contexts, implementing comprehensive testing pipelines, hallucination detection, and accuracy monitoring to ensure our AI systems meet both compliance
  • - Pioneer the application of cutting-edge AI research to insurance challenges, from multi-agent systems for complex underwriting to advanced RAG architectures for policy knowledge management.
  • The pay range for this position in California, Washington, Colorado and New York at commencement of employment is expected to be between $200,000 and $300,000/yr; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
  • The total compensation package for this position may also include other elements, including a bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other

Additional details

  • Newfront (a WTW company) embraces a flexible work environment and supports employees working remotely, hybrid, or in-office.
  • Our approach is radically different: small, specialized teams that embed directly with the business, building production systems that deliver immediate value.
  • This is a US-based remote or hybrid role with the option to work from any of Newfront's office locations.
  • - Embed directly with brokering teams, underwriters, and operations to identify automation opportunities, building solutions side-by-side with the people who use them daily.
  • You'll be acting as an internal FDE, where you're both engineer and business strategist.

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