P

Pace

AI agents for automating insurance operations

Forward Deployed Engineer Intern

AI Application EngineeringConfirmed live in the last 24 hours
Internship · Summer 2026New York, NY, USA

About the Job

Requirements

  • Have built something from scratch through a class, research project, internship, startup, open-source contribution, or personal project.
  • Have a strong software engineering foundation and experience programming in at least one language.
  • Be able to work through ambiguous technical and operational problems.
  • Communicate clearly and be prepared to work directly with customers.
  • Take ownership, move quickly, and seek feedback.
  • Care about whether what is built creates a successful customer outcome, not just whether the code works.
  • Be excited to work at the intersection of artificial intelligence, product, engineering, and customer operations.

Responsibilities

  • Work with customers to understand their operations and expand Pace into new use cases.
  • Build artificial intelligence-powered workflows that solve customers’ operational problems.
  • Ship features, integrations, and evaluations in the codebase to unblock deployments.
  • Investigate agent behavior and improve the quality and reliability of customer workflows.
  • Turn patterns across customer deployments into reusable product capabilities.
  • Work across customers, Product, and Engineering to take a problem from discovery through implementation, deployment, and iteration.

Desired Qualifications

  • Experience with artificial intelligence systems or enterprise software is helpful but not required.

About the Company

Pace

AI agents for automating insurance operations

Pace builds AI agents that automate insurance back-office work. The agents autonomously perform end-to-end tasks such as submission intake, policy servicing, and claims handling (including First Notice of Loss) by navigating internal applications, interpreting documents, and even making phone calls. Their platform integrates with legacy systems, mainframes, and desktop apps so automation can span existing workflows. Unlike vendors that sell standalone software, Pace offers end-to-end outcomes with pricing based on successful transactions, targeting the sizable BPO spend in insurance and financial services and replacing manual or offshore workflows with AI-driven processes. The company aims to help insurers achieve faster, more accurate, and scalable operations by embedding AI agents into daily operations and outsourcing-like workflows.

Company size
51-200
Company stage
Series B
Total funding
$46M
Headquarters
New York City, New York
Founded
2024

Recently Posted Jobs

Explore more opportunities at Pace

See more jobs