Software Engineer, Applied AI

New

Skills

Cloud infrastructure Distributed systems LLMs Vector Databases

Partner with product, engineering, underwriting, and data teams to spot AI opportunities. Design, build, and deploy LLM-powered features across underwriting and pricing. Develop AI agents and retrieval-augmented systems from unstructured data. Build production-grade AI infrastructure for model serving, evaluation, and monitoring. Create internal AI tools enabling faster, higher-quality underwriting decisions. Own AI features end-to-end from ideation to production. Strong backend engineering; scalable APIs and distributed systems. Hands-on experience shipping AI-powered products to production. Familiarity with LLMs, RAG architectures, embeddings, and vector databases. Experience integrating AI into user-facing/workflow apps. Cloud infra and deploying AI workloads at scale. Product mindset; translate problems into AI solutions. Premium healthcare coverage (health, dental, vision). Unlimited PTO. Daily lunches, dinners, and snacks. SF, NYC, or Dallas-Fort Worth offices. Professional development. 401(k) plan.

Key Responsibilities
  • Partner with product, engineering, underwriting, and data teams to identify AI opportunities.
  • Design, build, and deploy LLM-powered features.
  • Develop AI agents and retrieval-augmented systems.
  • Build production-grade AI infrastructure.
  • Create internal AI tools for underwriting decisions.
  • Own AI features from ideation to production.
  • Ship AI-powered products to production.
Required Skills & Qualifications
  • Strong backend engineering.
  • Experience with scalable APIs and distributed systems.
  • Familiarity with LLMs, RAG architectures, embeddings, and vector databases.
  • Experience integrating AI into user-facing/workflow apps.
  • Cloud infrastructure expertise.
  • Product mindset for problem translation into AI solutions.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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