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Rule Engine Jobs (NOW HIRING)

Java developer

Nashville, TN · On-site

$49.25 - $63.75/hr

Role Overview: We are looking for a highly skilled and motivated Senior Full Stack Engineer specializing in Rule Engine and API development. In this pivotal role, you will be responsible for ...

Java Developer

Plano, TX · On-site

$48.75 - $63.25/hr

* Experience with FICO Blaze rule engine and Java backend development. * Familiar with Jules pipeline deployment and Bit bucket code repository * Hands-on practical experience in system design ...

Java/J2EE Developer

Plano, TX

$48.75 - $63.25/hr

Experience in Activiti BPM, Drools Rule Engine. Willingness to work in shifts on rotation basis is must have requirement. Additional Information Looking forward to hear & work with you soon. Thanks ...

Java developer-

Mclean, VA

$51.50 - $66.75/hr

Experience with IBM ODM, ILOG JRules or any other Rule Engine preferred Proficient in documenting and communicating ideas clearly Ability to resolve issues in a non-confrontational manner Strong ...

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Rule Engine information

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How much do rule engine jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for rule engine in the United States is $29.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $35.82 per hour, depending on experience, location, and employer.

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.
More about Rule Engine jobs
What states have the most Rule Engine jobs? States with the most job openings for Rule Engine jobs include:
What job categories do people searching Rule Engine jobs look for? The top searched job categories for Rule Engine jobs are:
Infographic showing various Rule Engine job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, 1% Temporary, 5% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $61,529 per year, or $29.6 per hour.

Other

Posted 20 days ago


Job description

Job Title - GenAI Rule Engine Engineers

Location – Charlott NC (Day 1)

 

 Role Summary
We are hiring engineers to build a greenfield, Gen AI-enabled rule engine platform. This system will leverage graph and data science techniques to dynamically detect patterns and generate intelligent rules.

 

Key Responsibilities

  • Design and build a next-gen rule engine platform from scratch
  • Integrate Gen AI (LLMs) to dynamically generate and optimize rules
  • Leverage graph data and data science models to detect patterns and relationships
  • Develop rule evaluation, orchestration, and decisioning frameworks
  • Build APIs and services for rule execution and integration with enterprise systems
  • Ensure scalability, performance, and explainability of AI-driven decisions

Required Skills

  • Strong experience in building rule engines / decisioning systems
  • Hands-on experience with Gen AI / LLM frameworks (OpenAI, Azure OpenAI, LangChain, etc.)
  • Proficiency in Python / Java and microservices architecture
  • Experience with data science concepts and model integration
  • Familiarity with graph databases (Neo4j/TigerGraph) and pattern detection

Preferred

  • Experience with AI-driven decision systems or adaptive rule engines
  • Background in knowledge graphs + GenAI integration
  • Exposure to enterprise AI platforms and agent-based architectures