Software Engineer

🕒 July 28

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🖥 Software Engineer

👻 Ghost score 39%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 107 days.
• Jobs at this company usually fill in 50 days.
• No salary listed.

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Outmarket AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🛡️ Insurance

☁️ SaaS

Artificial Intelligence • Insurance • SaaS

Outmarket AI is an AI-driven SaaS platform purpose-built for insurance agencies and brokerages. It automates and accelerates insurance workflows—quote comparison, coverage gap analysis, contract/lease requirement checks, tower analysis, proposal generation, loss-run insights, ACORD form filling, and policy verification—by integrating with major agency management systems (e. g. , AMS360, Applied Epic, HawkSoft) and common document stores and email systems. The company emphasizes enterprise security (single-tenant architecture, zero data retention, SOC 2 Type II, HIPAA-ready), serves 250+ agencies, and positions itself to save underwriting/producer teams many hours per week while reducing errors and increasing revenue.

📋 Description

• Build product features powered by LLMs, including retrieval-augmented generation (RAG), embeddings and semantic search, prompt design, structured output, and tool-using agents. • Work hands-on with the mechanics of AI systems: chunking and embedding documents, vector stores and retrieval, context construction, and evaluating output quality. • Build the backend services, data pipelines, and product UI that turn these AI capabilities into reliable, production-grade features. • Turn messy real-world insurance data into trustworthy, source-cited product capabilities. • Collaborate across product, sales, and customer success to ship high-leverage work.

🎯 Requirements

• 1 to 3 years of software engineering experience (or equivalent), with strong fundamentals. • Proficiency in Python and/or TypeScript and comfort with SQL. • A real understanding of how modern AI systems work under the hood: LLMs and prompting, tokens and context windows, embeddings and vector search, RAG, and basic evaluation of model output. • Genuine interest in applied AI and a desire to go deep on the domain. • Strong ownership and comfort in a fast-moving environment.

🏖️ Benefits

• A high-impact role with ownership from day one. • 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.

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