Senior Software Engineer, AI Platform

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$173K-$251K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

82% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer, AI Platform Oakland, California, United States 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

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