Transform your approach to litigation and investigations. Everlaw powers your legal teams and the AI tools they use. Backed by a16z and Menlo.
About the role
We will encourage you to explore our entire system and work with significant autonomy across the stack. If you have deeper experience in areas like RAG pipelines, LLM integrations, or large-scale retrieval pipelines, there will be plenty of opportunities to lean into that expertise. Most of all, we care about finding self-driven engineers who love their craft, write clean software, use the right tools for the job, and avoid dogma.
What they're looking for
- You have a BS or MS in Computer Science , or equivalent coursework
- You have experience and proficiency in coding in a language such as C, C++, C#, Java, Python, Javascript, Go or Rust
- You have good knowledge of algorithms and fundamental computer science concepts, relational databases, API design, and building user interfaces
- You have practical experience with AI/ML-powered systems such as retrieval pipelines, semantic search features, agentic pipelines, document classification systems, or LLM-integrated features
- You have work experience with AI development tools like Cursor and Claude Code, accelerating your planning, coding, and testing of production features
- You have at least 1 year of experience leading or coordinating multi-developer efforts , including planning and technical breakdown
More about this role
Everlaw is looking for a Senior Software Engineer, AI Platform with experience building and operating AI platform capabilities that power user-facing software in complex ecosystems. Transforming legal tech with software and AI is a full-stack challenge that applies retrieval, vector search, model orchestration, evaluation, and agentic patterns - alongside search, databases, and real-time collaboration - to help our customers find the truth in millions of documents.
We will encourage you to explore our entire system and work with significant autonomy across the stack. If you have deeper experience in areas like RAG pipelines, LLM integrations, or large-scale retrieval pipelines, there will be plenty of opportunities to lean into that expertise. Most of all, we care about finding self-driven engineers who love their craft, write clean software, use the right tools for the job, and avoid dogma.
We’ve built sophisticated technology with a small, talented team; as we grow, we’ve maintained a culture where you’ll own serious capabilities, write great code, learn a huge amount, and have a lot of fun. You’ll work directly with product and platform partners as needed to ship AI platform...
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