outmarket - Software Engineer
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. • Hands-on experience with LLM orchestration and RAG tooling (for example LangChain, LlamaIndex, or similar) and vector databases (for example pgvector, Pinecone, or Weaviate). • Experience building agents, tool/function calling, or evaluation and prompt-testing pipelines. • Experience with React, Postgres, or cloud platforms, or with document-heavy data.
Responsibilities
• 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.
Benefits
• Build features that directly affect real customer workflows and outcomes. • Work across a broad technical stack in an AI-native environment. • Grow quickly with mentorship from founders and experienced engineers.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT