Full Stack AI Engineer

Outmarket Inc

$110K — $130K *
US-AnywhereRemote in United States
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in ML/NLP/LLM systems or 3+ years in software engineering with strong applied-AI interest.
  • Proficient in Python and experienced in integrating modern LLMs into products.
  • Experienced with SQL and database systems.
  • Skilled in transforming messy real-world data into practical product capabilities.
  • Demonstrates strong ownership and comfort shipping products without fully defined problems.

Responsibilities

  • Engage directly with insurance brokers, MGAs, and carriers to implement AI-powered solutions.
  • Utilize modern LLMs, embeddings, and structured data pipelines for features like document review and entity extraction.
  • Rapidly prototype and productionize features driven by customer feedback.
  • Develop reusable systems and components that can scale across various use cases.
  • Operate across product, infrastructure, and delivery boundaries.

Benefits

  • Work within a broad technical stack in an AI-native environment.
  • Influence real customer workflows and outcomes through your work.
  • Collaborate closely with founders and seasoned engineers.
  • Enjoy a fast-paced environment moving from ideas to shipped products.
Full Job Description
ABOUT THE ROLE
We are hiring a Full Stack AI Engineer to work across the product and technical stack, from AI workflows and backend systems to frontend product experiences. This is a build-and-run role for someone who likes moving between customer problems, product thinking, and hands-on implementation.

WHY THIS ROLE
  • Work across a broad technical stack in an AI-native environment.
  • Build features that directly affect real customer workflows and outcomes.
  • Partner closely with founders and experienced engineers.
  • Move quickly from idea to shipped product.

WHAT YOU'LL DO
  • Work directly with insurance brokers, MGAs, and carriers to deploy AI-powered solutions.
  • Use modern LLMs, embeddings, and structured data pipelines to build features such as document review, entity extraction, and quote comparison.
  • Rapidly prototype and productionize features based on customer needs and feedback.
  • Build reusable systems and components that scale across use cases and customers.
  • Operate across boundaries, whether product, infrastructure, workflow logic, or delivery.

WHAT WE'RE LOOKING FOR
  • 2+ years in ML/NLP/LLM systems, or 3+ years in software engineering with strong applied-AI interest.
  • Proficiency in Python and experience integrating modern LLMs into products.
  • Experience with SQL and database systems.
  • Ability to turn messy real-world data into practical product capabilities.
  • Strong ownership and comfort shipping without a perfectly bounded problem.

BONUS IF YOU HAVE
  • Experience with unstructured documents such as PDFs or insurance policies.
  • Depth in Postgres, React, or Python.
  • Early-stage startup experience.

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