Senior Software Engineer, AI Platform

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 features that matter.

We build with a high sense of urgency, with respect for the profound opportunity ahead of us, but don’t rely on sprints or made‑up deadlines to motivate results. Code quality and maintainability are paramount. At our core, we enjoy the creative process of building systems that are reliable, reproducible, explainable, scalable, and secure. We do this by empowering our team members, tackling challenging and complex engineering problems, and providing mentoring, coaching, and comprehensive feedback.

At Everlaw,
our mission is to promote justice by illuminating truth
. Our company culture is open and vibrant, and we’re committed to the professional growth of our team members, offering an annual learning and development stipend, regular check‑ins with managers regarding career goals, and mentoring from staff and principal engineers. If you’re looking for a place that values passion, integrity, thinking big, and a desire to apply your experience while also continuing to learn, we’d love to hear from you.

This is a full‑time, on‑site position located in Oakland, California with an expected hybrid schedule of 3 days/week in the office and 2 days/week at home.

• Build AI platform capabilities that power product experiences such as Deep Dive, predictive coding, multi‑modal understanding, agentic workflows, translations, search, review, and more.
• Contribute to RAG, semantic retrieval, and agentic orchestration patterns
  , including indexing pipelines, query flows, tool‑calling and planning logic, relevance tuning, benchmarking, and multi‑modal workloads where applicable.
• Collaborate with Product, Platform, Security, and Dev Ops partners to build and ship new features in our production environments.
• Help with scaling our system to larger datasets with hundreds of millions of documents.
• Provide Technical Mentorship to other engineers by sharing your technical knowledge and becoming an expert in an area of our code base.
• Be a Code Reviewer by reviewing code developed by others using your knowledge of programming languages, design patterns, and best practices.
• Fix defects in our product by triaging product or system issues and writing code to debug, track and resolve these issues.
• Provide on‑call support for the product by answering questions from customers, triaging defects and exceptions, and carrying the pager.
• Contribute to documentation for internal engineering consumption or for external the Everlaw platform.
• Do technical interviews to help us recruit engineers and grow the team.

• You have a BS or MS in Computer Science
  , or equivalent coursework.
• 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…