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Rule Engine Jobs in California (NOW HIRING)

The Role You will own the physical design of our optical engine packages - redistribution layers ... Flag rule conflicts early and propose alternatives rather than routing around them silently.

... 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 ...

... 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 ...

About ARIVE ARIVE (arive.com) is the industry's first integrated LOS, POS, and Pricing Engine with ... You will verify that every rule ARIVE AI generates and applies is faithful to the agency guides and ...

... 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 ...

About ARIVE ARIVE (arive.com) is the industry's first integrated LOS, POS, and Pricing Engine with ... You will verify that every rule ARIVE AI generates and applies is faithful to the agency guides and ...

... 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 ...

... 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 ...

The work may span areas like the offer engine, feedback loops for model and rule improvements, configurable decision systems, experimentation on operational workflows, and other products where better ...

Senior Data Scientist

Santa Monica, CA · On-site

$230K - $250K/yr

The work may span areas like the offer engine, feedback loops for model and rule improvements, configurable decision systems, experimentation on operational workflows, and other products where better ...

Showing results 41-60

Rule Engine information

What is a rule engine?

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 skills and qualifications are needed to thrive as a rule engine developer?

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.

How does a rule engine developer 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 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 job categories do people searching Rule Engine jobs in California look for?

The top searched job categories for Rule Engine jobs in California are:

Infographic showing various Rule Engine job openings in California as of September 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

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

San Francisco, CA • On-site

Fuku
Food Services and Drinking Places • 51 - 200 employees

Full-time

Re-posted 18 days ago


Job description

**Senior Full-Stack Engineer (Freelance/Contract, Remote)**
NexaFlow is developing a proof-of-concept automated code review tool powered by large language models (LLMs). We are seeking a Senior Full-Stack Engineer to design and deliver the prototype end-to-end.
**Key Responsibilities:**
- Own the entire proof-of-concept (PoC) development process, from architecture to deployment.
- Integrate webhooks for pull request (PR) analysis.
- Build a hybrid review engine combining LLMs and static analysis tools.
- Implement custom rule configuration for code reviews.
- Develop a review dashboard for users.
- Ensure Docker-based deployment of the solution.
**Requirements:**
- 5+ years of full-stack development experience with Python (FastAPI) or Node.js and React.
- Proven experience integrating LLM APIs (such as OpenAI GPT-4, Anthropic Claude) into production systems.
- Hands-on experience with CI/CD pipelines, including GitHub Actions or GitLab CI.
- Familiarity with code review tooling.
- Ability to work independently, handling all aspects from system architecture to deployment.
- Experience with static analysis tools (e.g., Semgrep, CodeQL) is a strong plus.
**Engagement Details:**
- Freelance/contract position.
- Fully remote work.
- Competitive rate based on experience.

Fuku logo

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