Senior Mulesoft Engineer (AI)

TL;DR

Senior Mulesoft Engineer (AI): Designing and delivering API-led integration solutions on Anypoint Platform, directly with clients, focusing on architecture decisions and scope discipline. Focus on AI-enabled IDE, LLM-based assistants, and AI-powered static analysis to advance automation with AI-assisted code review and LLM-based development platforms.

Location: Remote (USA)

Salary: $135,000 - $160,000 USD

Company

hirify.global turns AI into Actual Intelligence—accelerating outcomes and proving that complexity is optional.

What you will do

• Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions.
• Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines.
• Lead discovery sessions, shape estimates, and contribute to SOW development.
• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Prototype and deploy AI/LLM services inside integration solutions.

Requirements

• Consulting Services Experience: 3–5+ years delivering integration programs for external clients.
• Client-Facing Ownership: Proven track record of managing client relationships through the full engagement lifecycle.
• Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft.
• Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
• Demonstrated ability to self-govern in flat, PM-free consulting environments.
• Skilled in Java and Node.js.
• MuleSoft Certified Developer – Level 1 required.

Nice to have

• Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
• Familiarity with event-driven architectures (Kafka, Pub/Sub).
• Hands-on experience or strong interest in AI/ML pipeline design or integration.

Culture & Benefits

• Competitive salary + performance bonus.
• Medical, dental, and vision coverage.
• 401(k) with generous company match.
• Flexible PTO and remote-first work environment.
• Annual professional development budget (certifications, conferences, AI tools).
• Equipment stipend.