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.
Think you’re missing some of the skills and are hesitant to apply? We do not believe in the “perfect” candidate and encourage you to apply if you feel you can bring value to our team. 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 Day 1.
In your role, you'll...
- 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 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
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.
When preparing to engage with Everlaw as a candidate, you may use AI tools for research, polishing application materials, and interview prep. However, any assessments (unless explicitly stated), remote interviews or live interviews must be completed independently without AI support.
By submitting your application, you agree to adhere to these rules. Here's the link to our
full policy, and please reach out with any questions!
We use Gem as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Gem with job requirements and candidate-submitted applications. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Gem complies with NYC Local Law 144. We began using Gem in April 2026.
