Genai Software Engineer Jobs in California
Genai software engineer jobs in California rank among the most active in the country, concentrated in AI research, enterprise software, cloud infrastructure, and consumer technology across a range from entry-level to principal and staff engineer. The largest hiring metros are San Francisco, San Jose, and Los Angeles, where companies like Google, Meta, and Salesforce maintain major engineering hubs and consistently recruit for generative AI roles. The most in-demand specialties include large language model fine-tuning, retrieval-augmented generation systems, and AI platform engineering. Find a role that fits below and apply directly.
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At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK:
Are you an ambitious engineer looking to make an outstanding impact in the world of financial technology? At Ripple Labs Inc., we are seeking a GenAI Platform Staff Software Engineer to join our team in San Francisco, CA. You will collaborate with world-class colleagues to successfully implement innovative solutions that redefine the global financial system.
WHAT YOU’LL DO:
- Develop and deliver production-quality agentic AI systems end-to-end using Python, Go, and/or Java, covering EKS deployment, agent runtimes, memory systems, orchestration, tool integration, and evaluation pipelines that operate across Ripple's polyrepo engineering environment.
- Define and advance Ripple's Enterprise Agentic AI and developer platform architecture through practical implementations, reference systems, and production deployments — not abstract diagrams.
- Build and implement multi-agent orchestration patterns (planner, executor, reviewer, tool agents) using frameworks such as LangGraph, MCP, Claude Code agent harnesses, or similar orchestration systems, with strong regression coverage and observability.
- Run fast, high-quality POCs on emerging agent architectures; harden successful patterns into reusable platform services, APIs, SDKs, and developer templates that engineering teams across Ripple can adopt.
- Architect and implement data flywheels that continuously improve agent quality through telemetry, benchmarking, automated evaluation, and structured feedback loops — treating quality, cost, latency, and safety as first-class signals.
- Embed security, guardrails, sandbox isolation, auditability, and policy enforcement directly into agent runtimes in partnership with security, compliance, and governance teams — particularly for workflows that touch XRPL, RLUSD, and payment systems.
- Evaluate, integrate, and extend open-source and third-party agent platforms; drive disciplined build-vs-use decisions based on performance, scalability, control, and long-term platform ownership.
- Collaborate closely with engineering, infrastructure, product, and business partners to align architectural direction with enterprise priorities and accelerate adoption across the organization.
WHAT YOU'LL BRING:
- Bachelor's degree in Computer Science or related field or equivalent experience; Master's or PhD preferred.
- 10+ years of experience building and shipping large-scale distributed systems with significant hands-on coding in Python, Go, Java, or similar systems languages.
- Proven ability to move quickly from idea to functional prototype to robust, scalable platform solution.
- Proven track record in constructing agentic AI systems, including RAG pipelines, long-lived memory models, multi-agent orchestration (e.g., AgentCore, Strands, LangGraph, MCP, Claude Code, LangChain), tool frameworks, and evaluation infrastructure.
- Expert-level depth in Kubernetes (EKS preferred), service mesh (Istio), containerized workloads, networking, APIs, and secure enterprise integration patterns.
- Experience crafting benchmarking, regression testing, telemetry, and observability systems (OpenTelemetry, Prometheus, Grafana) that measure agent quality, latency, cost, reliability, and safety.
- Strong understanding of performance tuning in hybrid environments, including managed inference endpoints and GPU-based workloads.
- Excellent collaboration skills with the ability to influence cross-functional partners, build positive relationships, and clearly communicate complex architectural concepts to both technical and business audiences.
Preferred Qualifications
- Proven experience delivering reusable developer-acceleration components such as SDKs, APIs, templates, reference implementations, and CI/CD automation.
- Experience building cross-repo context engines or AI-native developer platforms at scale (vector databases such as Qdrant, code embeddings, Tree-sitter, retrieval across thousands of repositories).
- Experience integrating enterprise agentic search and orchestration platforms (Glean, Cursor, Claude Code at organizational scale, Microsoft Copilot Studio, or similar).
- Experience embedding fine-grained policy enforcement, access controls, sandbox isolation, and audit trails directly into AI runtimes — particularly in regulated or financial contexts.
- Familiarity with formal methods (TLA+, model checking) or property-based testing applied to agentic systems and distributed protocols.
- Background in blockchain, payments infrastructure, or the XRPL/RLUSD ecosystem.
- Evidence of meaningful open-source contributions: core commits, maintainer-ship, widely adopted libraries, or public technical artifacts demonstrating system-level depth.
COMPENSATION
- CA Annual Base Salary Range: $208,000—$250,000 USD
For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions.
WHO WE ARE:
Do Your Best Work
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
- Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
Take Care of Yourself
- R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies. Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
Benefits listed above are for full-time employees.
Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
See All 25 Genai Software Engineer Jobs in California
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Find Genai Software Engineer JobsGenai Software Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Genai Software Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- NVIDIA5

- ADPMN2

- Apple2

- Databricks2

- Pinterest2

Top Industries Hiring
- Technology & Software17
- Electronics & Hardware6
- Banking & Financial Services2
- Consulting & Professional Services1
- Education1
What California Employers Look For
The qualifications that appear most often in genai software engineer jobs across California.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience building or fine-tuning large language models or diffusion models
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms including AWS, Google Cloud, or Azure for model deployment
- Familiarity with retrieval-augmented generation, vector databases, and prompt engineering
- Strong understanding of MLOps practices including model versioning, monitoring, and CI/CD pipelines
Genai Software Engineer Jobs in California: Frequently Asked Questions
How do you become a genai software engineer in California?
There is no state-issued license required to work as a genai software engineer in California. Most roles require a bachelor's or master's degree in computer science, machine learning, or a closely related field from a California university system or equivalent. From there, employers look for demonstrated experience through research publications, open-source contributions, or project portfolios. Building hands-on projects with transformer-based models and applying through California's dense tech ecosystem is the most direct path.
How much do genai software engineers make in California?
Genai software engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire genai software engineers in California?
Employers hiring genai software engineers in California right now include NVIDIA, ADPMN, and Apple, based on current listings on Migrate Mate as of June 2026. California's concentration of AI-focused headquarters and research labs means demand is distributed across large technology companies, AI startups in the Bay Area, and enterprise software firms with significant Southern California operations.
Which California cities have the most genai software engineer jobs?
San Francisco, San Jose, and Santa Clara have the most genai software engineer openings in California. San Francisco and San Jose lead because of the Bay Area's dense cluster of AI-native companies and major technology headquarters, while Los Angeles has grown into a secondary hub driven by entertainment technology, fintech, and a growing cohort of generative AI startups headquartered there.
Are there remote genai software engineer jobs in California?
Yes, and more than most fields. About 36% of genai software engineer openings tied to California are remote or hybrid as of June 2026, reflecting how well the role's core work translates to distributed teams. Research-heavy and model evaluation tasks are the most commonly offered as fully remote, while roles involving proprietary hardware or on-site GPU clusters typically require in-person presence.
How can I get hired as a genai software engineer in California with little or no experience?
The most realistic entry path is through a machine learning engineer or software engineer role at a California company that has an internal AI team, then transitioning once you have relevant project exposure. Large California employers like Google, Meta, and Apple run new-grad rotational programs and research residencies that accept candidates without industry experience. Building a public portfolio of generative AI projects and contributing to open-source model repositories gives candidates a concrete edge when applying through these programs.
Where can I find and apply to genai software engineer jobs in California?
You can find and apply to genai software engineer jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your background and apply directly from the listings on this page.
See All 25 Genai Software Engineer Jobs in California
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Find Genai Software Engineer Jobs