Senior Software Engineer, AI Platform

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.

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.

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.

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