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Rule Engine Jobs in California (NOW HIRING)

QuinStreet

Senior AI Engineer

Foster City, CA

$121K - $167K/yr

Evaluate when LLM analysis is the correct tool versus a classifier or rules-based approach, and design the two-stage rule-engine-plus-AI pipeline accordingly. * Build and maintain a unit test suite ...

TikTok

Ads Targeting Data Engineer, Ads Core

San Jose, CA · On-site

$156K - $316K/yr

... rule engine, access control & auditing - Collaborate with ML/product/compliance to ensure stable production rollout and iterative improvements (performance/reach/cost/UX) Qualifications Minimum ...

Redolent, Inc

Software Engineer

Sunnyvale, CA

Software Engineer Responsible for full software development lifecycle including coding, testing, implementing, and supporting Walmart's rule-based Policy Engine System. Create architecture diagrams ...

Pure Storage

Director, CTO Architect

Santa Clara, CA · On-site

Establish best practices for configuration rule authoring, maintenance, and deployment (rules engine management), standardizing data constructs for one-time purchases, subscriptions, and service ...

DataVisor

AI Engineer

Mountain View, CA · On-site

... engine, and investigation tools work together to provide significant performance lift from day one ... Label & Rule Tuning Automation Build map-reduce style LLM workflows and analytics pipelines (e.g ...

DataVisor

AI Engineer

Mountain View, CA · On-site

... engine, and investigation tools work together to provide significant performance lift from day one ... Label & Rule Tuning Automation Build map-reduce style LLM workflows and analytics pipelines (e.g ...

DataVisor

AI Engineer

Mountain View, CA · On-site

... engine, and investigation tools work together to provide significant performance lift from day one ... Label & Rule Tuning Automation Build map-reduce style LLM workflows and analytics pipelines (e.g ...

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Rule Engine information

How does a Rule Engine developer typically collaborate with business analysts and other stakeholders to ensure accurate implementation of business logic?

Rule Engine developers regularly work with business analysts, product managers, and other stakeholders to translate business requirements into precise, executable rules. This collaboration often involves attending requirements-gathering meetings, reviewing user stories, and clarifying logic or decision criteria before implementation. Developers may also participate in workshops or walkthroughs to validate rule outcomes and ensure that the logic aligns with business expectations. Effective communication and iterative feedback are key to minimizing misunderstandings and ensuring that the system delivers the intended value.

What are rule engines?

Rule engines are software systems that execute business rules, which are statements that define or constrain some aspect of a business. They allow organizations to separate business logic from application code, making it easier to manage and update rules without changing the underlying software. Rule engines are commonly used for decision-making processes, such as eligibility checks, pricing, and compliance. By using a rule engine, businesses can quickly adapt to changing policies and regulations.

What is the difference between Rule Engine vs Data Analyst?

AspectRule EngineData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, mathematics, or related field
Work EnvironmentSoftware development, automation systemsData analysis, reporting, business insights
Employer & Industry UsageFinance, insurance, e-commerceMarketing, finance, healthcare
Common Search & Comparison IntentUnderstanding automation rules vs data interpretation

While a Rule Engine automates decision-making processes through predefined rules, a Data Analyst interprets data to provide insights. Both roles are essential in data-driven industries but serve different functions: one focuses on automation, the other on analysis and reporting.

What are the key skills and qualifications needed to thrive as a Rule Engine Developer, and why are they important?

Success as a Rule Engine Developer requires solid programming skills (often in Java or Python), expertise in logic-based systems, and a strong understanding of business rules modeling, usually demonstrated through a relevant degree in computer science or information systems. Familiarity with popular rule engine platforms such as Drools, IBM ODM, or Red Hat Decision Manager, and certifications in these tools, are highly beneficial. Analytical thinking, attention to detail, and effective communication help translate complex business requirements into accurate, maintainable rule sets. These capabilities are crucial for building reliable, scalable, and adaptable systems that support dynamic business decision-making.
What are popular job titles related to Rule Engine jobs in California? For Rule Engine jobs in California, the most frequently searched job titles are:
What job categories do people searching Rule Engine jobs in California look for? The top searched job categories for Rule Engine jobs in California are:
Rule Engine jobs near you
Infographic showing various Rule Engine job openings in California as of June 2026, with employment types broken down into 80% Full Time, 10% Part Time, 2% Temporary, 5% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Senior Full-Stack Engineer - LLM-Powered Code Review PoC

Fuku

San Francisco, CA • On-site

Full-time

Posted 12 days ago

Job description

NexaFlow is building a next-generation code review tool powered by large language models. We are seeking a Senior Full-Stack Engineer to lead the development of a proof-of-concept prototype that integrates LLM-based analysis into existing CI/CD workflows.
Responsibilities:
  • Design and implement a full-stack application that integrates LLM APIs (OpenAI/Anthropic) for automated code review.
  • Build webhook-based integrations with GitHub/GitLab to automatically analyze pull requests.
  • Develop a hybrid analysis pipeline combining LLM reasoning with static analysis for bug detection, security vulnerability identification, and code quality enforcement.
  • Create a configurable rule engine allowing per-repository custom review policies.
  • Build a dashboard displaying review statistics, trends, and actionable insights.
  • Containerize the entire solution with Docker for easy self-hosted deployment.
  • Own the full lifecycle from architecture design through deployment and documentation.

Requirements:
  • 5+ years of professional full-stack development experience.
  • Strong experience integrating LLM APIs (OpenAI GPT-4, Anthropic Claude) into production systems.
  • Hands-on experience with CI/CD pipeline integration (GitHub Actions, GitLab CI).
  • Prior work building code review tools, linters, or static analysis systems.
  • Proficiency in Python (FastAPI) or Node.js for backend; React or Vue for frontend.
  • Experience with Docker containerization and self-hosted deployment.
  • Ability to work independently across the full stack from architecture to deployment.
  • Strong communication skills for async collaboration.

Nice to Have:
  • Experience with RAG (Retrieval-Augmented Generation) architectures.
  • Familiarity with CodeQL, Semgrep, or similar static analysis tools.
  • Previous startup or PoC-stage project experience.
  • Contributions to open-source developer tools.

Additional Information:
  • This is a contract/consulting engagement, not a full-time employee role.
  • We value flexibility and outcome-driven collaboration.
  • Remote-friendly with a preference for candidates in the San Francisco Bay Area.

About Fuku

Sourced by ZipRecruiter

Industry

Food services and drinking places

Company size

51 - 200 Employees

Headquarters location

New York, NY, US

Year founded

2015

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