Forward Deployed AI Engineer

Outmarket AI
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Software Debugging SQL Databases Large Language Models

Job description

The impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us., We are hiring a Forward Deployed AI Engineer to work directly with customers (brokers, MGAs, and carriers) to deploy and tailor our AI solutions to their real workflows. You sit at the intersection of engineering and the customer, turning messy real-world requirements into shipped, working systems., * Integrate with agency management systems and customer data, and resolve real-world data issues.

  • Build tooling and feed product requirements back into the core platform.
  • Partner with sales and customer success to ensure customers succeed.

Requirements

  • 2+ years in software/forward-deployed/solutions engineering.
  • Strong Python and SQL, and comfort debugging messy integrations.
  • Customer-facing instincts and excellent communication.
  • Bias to action in ambiguous, fast-moving situations.

BONUS IF YOU HAVE

  • Insurance, fintech, or other regulated-data domain experience.
  • Experience with LLM-based systems or document processing.

Benefits & conditions

  • Competitive compensation and meaningful equity.
  • Direct collaboration with founders and real users.
  • Remote-first flexibility.
  • The opportunity to help build an AI-native product from the ground up.

About the company

Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the output.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:08 min

The vending machine trap in software debugging

Jen Callou Jen Callou · Europe 2026 Virtual

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

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