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Repo Agent Jobs in California (NOW HIRING)

You.com

Senior AI Engineer

San Francisco, CA · On-site +1

$250K - $300K/yr

About the role You.com builds AI-powered search and research APIs for the agent era - the retrieval ... in an open-source repo, on a podcast, or on a conference panel. We're looking for a builder ...

Mason AI

Founding AI Engineer

San Francisco, CA · On-site

$160K - $210K/yr

Paid work trial (3 days) - We'll set you up to run evals for our multimodal agent on our repo, and we'll ask you to generate hypotheses for experiments to run, run those experiments, and then analyze ...

New

Harper Group

Product Engineer

San Francisco, CA · On-site

$140K - $280K/yr

Your code doesn't sit in a repo. It runs the business. The Role You're a full-stack engineer with ... RAG, agent frameworks, or evaluation systems * Background in operations tooling, sales tech, or ...

Clearpath

Founding AI Engineer

San Francisco, CA · On-site

$120 - $200/hr

Paid work trial (3‑5 days) - We'll set you up to run evals for our multimodal agent on our repo, and we'll ask you to generate hypotheses for experiments to run, run those experiments, and then ...

New

Blaxel, Inc

Developer Relations

San Francisco, CA · On-site

$140K - $190K/yr

... agent architecture, benchmarks. Interview the engineers who built it so each one is technically ... The best DevRel is a repo you can clone and run in five minutes. * Run and grow the community on ...

Turing

Staff Research Engineer - Code

San Francisco, CA · On-site

... their coding agent roadmap and model data needs, to gather feedback, and to co-define success ... repo sandboxing). * Design dashboards and APIs for customers to run model evals, view performance ...

Augment Code

Head of Demand Generation

Palo Alto, CA · On-site

The role Augment Cosmos is the agent orchestration platform for engineering teams. We sell to CTOs ... live in a git repo that agents read and write to. Call transcripts get mined for themes ...

zaimler

Full Stack Engineer

San Mateo, CA · On-site

We have a hard system underneath: graphs, real-time inference, agent behavior in production. Today ... Apply Send us (what you've built: a repo, a product, a thing you shipped that you're proud of) at ...

zaimler

Full Stack Engineer

San Mateo, CA · On-site

We have a hard system underneath: graphs, real-time inference, agent behavior in production. Today ... Apply Send us (what you've built: a repo, a product, a thing you shipped that you're proud of) at ...

zaimler

Full Stack Engineer

San Mateo, CA · On-site

We have a hard system underneath: graphs, real-time inference, agent behavior in production. Today ... Apply Send us (what you've built: a repo, a product, a thing you shipped that you're proud of) at ...

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All JobsRepo Agent JobsRepo Agent Jobs in California

Repo Agent information

See California salary details

$8

$21

$37

How much do repo agent jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for repo agent in California is $21.71, according to ZipRecruiter salary data. Most workers in this role earn between $12.95 and $26.83 per hour, depending on experience, location, and employer.

What is a repo agent?

Repo agents, short for repossession agents, are professionals hired by lenders or financial institutions to recover property—most commonly vehicles—that have been defaulted on by borrowers. Their primary responsibility is to locate and legally repossess collateral when a borrower fails to make payments as agreed. Repo agents typically work with banks, credit unions, and finance companies, and must follow strict legal guidelines to avoid breaching the peace during repossession. The job often requires investigative skills, discretion, and a thorough understanding of state and federal repossession laws.

What skills and qualifications are needed to thrive as a repo agent?

To thrive as a Repo Agent, you need a solid understanding of repossession laws, attention to detail, a valid driver's license, and often a high school diploma or equivalent. Familiarity with GPS tracking systems, recovery management software, and sometimes certification from organizations like the Certified Asset Recovery Specialist (CARS) program are typical. Strong negotiation, conflict resolution, and effective communication skills help you handle tense situations and interact professionally with clients and debtors. These abilities are essential for ensuring legal compliance, personal safety, and successful asset recovery in challenging and dynamic environments.

What challenges do repo agents face in the field, and how can they be managed?

Repo Agents often encounter challenging situations such as dealing with uncooperative or confrontational vehicle owners, working irregular hours, and operating in varying weather conditions. To manage these challenges, agents rely on strong communication skills, thorough knowledge of legal regulations, and situational awareness. Most employers provide training on conflict de-escalation and safety protocols, and teamwork with dispatchers and other agents is essential for support and coordination during repossession assignments.

What is the difference between Repo Agent vs Repo Clerk?

AspectRepo AgentRepo Clerk
CredentialsDriver's license, sometimes a repossession licenseBasic administrative skills, possibly some licensing depending on state
Work EnvironmentOn-site at repossession locations, vehicle lots, or client sitesOffice settings, administrative offices, or remote work
Employer & IndustryRepossession agencies, auto finance companies

Repo Agents are responsible for physically locating and recovering vehicles, often working in the field. Repo Clerks handle administrative tasks related to repossessions, such as documentation and record-keeping. While both roles support the repossession process, Repo Agents focus on fieldwork, whereas Repo Clerks focus on office-based tasks.

How do repo agents get paid?

Repo agents typically earn commissions or fees based on the number of successful repossessions they complete. They may also receive a flat fee per case or a percentage of the recovered value, often working on a contractual or hourly basis depending on the employer or agency. Compensation can vary depending on experience, location, and the specific company's payment structure.

How to become a repo agent?

To become a repo agent, you typically need a high school diploma or equivalent, a valid driver's license, and a clean driving record. Many employers require prior experience in collections or security, and some states may require a license or certification. Strong communication skills, knowledge of local laws, and the ability to work independently are also important.

What do repo agents do?

Repo agents are responsible for locating and recovering vehicles or property when borrowers default on loans. They often work with law enforcement and use tools like GPS tracking and skip tracing techniques to find assets, following legal procedures and company policies. Strong communication skills and knowledge of repossession laws are important for this role.

What are popular job titles related to Repo Agent jobs in California?

For Repo Agent jobs in California, the most frequently searched job titles are:

What job categories do people searching Repo Agent jobs in California look for?

The top searched job categories for Repo Agent jobs in California are:

What cities in California are hiring for Repo Agent jobs?

Cities in California with the most Repo Agent job openings:

Repo Agent jobs near you
Infographic showing various Repo Agent job openings in California as of August 2026, with employment types broken down into 86% Full Time, and 14% Temporary. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $45,152 per year, or $21.7 per hour.

Software Development Engineer (Fullstack)

career

Mountain View, CA

$190K - $220K/yr

Full-time

Re-posted 14 days ago

Job description

LandingAI is building the infrastructure to make the world’s documents computable.

We are an AI-native company transforming unstructured and dark data into trusted, structured, auditable data that software can understand and act on. Our focus is on the hardest document understanding problems: multiple document types, complex layouts, tables, images, handwriting, and mixed modalities within and across workflows.

Founded by Andrew Ng, LandingAI has brought together some of the strongest AI Engineers and Machine Learning Engineers in the industry, with deep expertise in visual AI, agentic systems, foundation models, and production ML infrastructure. We build from the ground up where it matters, move fast with the latest AI coding tools and agentic developer workflows, and invest in the compute and technical environment needed to do exceptional work.

Our work is grounded in three core strengths:

  • Agentic systems built for production. We have been early builders of agentic AI systems and have applied that work in the real world through Agentic Document Extraction (ADE), our platform for parsing, understanding, and extracting information from complex documents with traceability, control, and production-grade reliability.

  • A data-centric mindset. We bring a rigorous, practical approach to model quality, edge cases, evaluation, and real customer data, because solving document understanding in production requires far more than strong benchmark performance.

  • A vision-first approach to foundation models. We build from the ground up where it matters, including specialized document models and agentic systems, because solving real document understanding problems requires more than stitching together generic components.

Since launching Agentic Document Extraction in early 2025, LandingAI has grown quickly by bringing a modern, AI-native approach to a legacy intelligent document processing market ready for disruption.

This is a place for builders. If you want to work on real technical depth, move quickly, take ownership, and help define the future of document intelligence, LandingAI is the place to do it.

Key Responsibilities

  • Being a driving force for the team's agentic coding practice - establishing patterns for spec-driven development, context engineering, and multi-agent orchestration that compound team output.

  • Owning and defining architecture for AI-powered applications and services, ensuring scalability, security, and maintainability across teams.

  • Designing, developing, and deploying backend infrastructure and AI services with a focus on high availability, performance, and reliability.

  • Leading cross-functional initiatives, collaborating with Machine Learning Engineers, Product Managers, and other teams to align technical solutions with business needs.

  • Driving innovation by making strategic technical decisions, setting best practices, and mentoring engineers to elevate the team’s technical bar.

  • Improving developer experience by building internal tooling, streamlining workflows, and optimizing deployment pipelines.

  • Ensuring seamless data flow, building high-throughput, secure, and scalable data pipelines to support AI model training and deployment.

  • Championing best practices in software engineering, ensuring high-quality code, rigorous testing, and well-documented design decisions.

Required Skills

  • 5+ years of experience in software development, with a strong backend / full-stack engineering background.

  • Fluency with agentic coding tools (Claude Code, Codex or equivalent). Experience writing effective specs, managing repo context, and reviewing/verifying agent output.

  • Expertise in backend development, with proficiency in Python and/or Node.js and modern web frameworks like FastAPI, Flask, Express.js, Next.js

  • Strong software architecture skills, with experience designing and scaling distributed systems and cloud-based applications.

  • Hands-on experience with Docker and Kubernetes for containerization and orchestration.

  • Database expertise, including SQL, NoSQL, and data streaming solutions.

  • Experience working with cloud platforms such as AWS, GCP, or Azure.

  • Proficiency in software engineering best practices, including code reviews, unit testing, CI/CD pipelines, and system design.

  • Experience mentoring engineers and contributing to team-wide technical direction.

  • Strong communication skills, with the ability to translate technical challenges into business impact.

  • Proven track record of leading fullstack projects, from early prototypes to production systems.

Nice to Have

  • Familiarity with Stripe, subscription management.

  • Exposure to computer vision, LLMs, or multimodal AI applications.

  • Experience with developer-facing products and building intuitive APIs.

  • Stock Awards – We want you to share in our success with equity grants.

  • Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.*

  • Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.*

  • Lifelong Learning – An education stipend to help you grow and keep learning.

*Benefits may vary based on your country of employment.

This role is onsite at our Mountain View HQ, with the expectation to work from the office on a daily basis. As we are a global team, the position also requires flexibility to collaborate across international time zones.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.