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. Getting started We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals. We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring industry experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day1. In your role, you’ll… Build AI platform capabilities that power product experiences such as DeepDive, 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 DevOps 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 both 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. About you 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 4 years of experience building distributed systems in the cloud with service based architecture, using frontend frameworks to create rich, deep, web applications, and experience with the best practices to test, maintain, and launch cloud based software. You have at least 1 year of experience leading or coordinating multi-developer efforts , including planning and technical breakdown. Pluses You are familiar with building software on the AWS platform. You are familiar with MySQL, Postgres You are familiar with vector or graph databases You are familiar with LLMOps Benefits The expected salary range for this role is between $173,000 - $251,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future. Equity program 401(k) retirement plan with company matching Health, dental, and vision Flexible Spending Accounts for health and dependent care expenses Paid parental leave and approximately 10 days (80 hours) per year of sick leave Seventeen paid vacation days plus 11 federal holidays Membership to Modern Health to help employees prioritize mental health and wellness Annual allocation for Learning & Development opportunities and applicable professional membership dues Company-sponsored life and disability insurance Find out more about our Benefits and Perks Perks Work in Downtown Oakland, just steps from the BART line and dozens of restaurants You will get a powerful Linux laptop and be able to customize your desk setup Bond over team lunches and out-of-the-box events Ranked “#1 on G2 for Ediscovery Software and Momentum” and we offer free eDiscovery resources to benefit the greater societal good with Everlaw for Good Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice Take advantage of learning and career development opportunities Ranked #9 on Glassdoor’s Best Places to Work 2023 for US small and medium companies One of Wealthfront’s 2021 Career Launching Companies, and ranked #2 on the “2022 Bay Area Best Places to Work” list by the San Francisco Business Times and the Silicon Valley Business Journal One of Fast Company’s World’s Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good” #LI-EJ1 #LI-Hybrid About Everlaw At Everlaw, you’ll shape how AI re-wires the legal industry, at a category-leading business built on a mission to illuminate the truth. Everlaw is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr