Jobs / United States / Everlaw INC

Senior Software Engineer, AI Platform

Everlaw INC · 🇺🇸 Oakland, California, United States

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 11 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Everlaw INC paid sponsored hires in similar roles9 certified filings for “Software Engineer” (Software Developers) in CA: $136k–$162k, median $162k. Most were filed at wage level I (38%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

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Sponsor Radar — Everlaw INC

11 H-1B filings certified since Oct 2025

The US Department of Labor certified 11 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Everlaw INC →

About the 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 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 e

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Source: Greenhouse (employer board) First seen: 2026-10-15 Last confirmed: 2026-10-16 How our data works → Report this job

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