Gain full access to exclusive job listings from leading companies worldwide.
Verified, High-Quality Jobs Only
No ads, scams, or junk-just genuine opportunities.
Focus on Real Opportunities
Explore thousands of open positions tailored to your lifestyle, including flexible remote jobs.
Exclusive Resume Review
Receive expert feedback with personalized suggestions to enhance your resume.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Backend Engineer to build and maintain production-grade microservices and distributed systems, developing backend features that support AI-enabled product experiences. You will design and maintain RESTful APIs following API lifecycle best practices, work across Java, Spring Boot, and Gradle, and integrate LLM-based workflows and AI service API patterns into scalable backend architecture. The role requires fault-tolerant system design experience and strong performance tuning skills across PostgreSQL or MySQL environments.
WHAT YOU WILL DO
- Build and maintain production-grade backend systems.
- Develop backend features supporting AI-enabled product experiences.
- Design and maintain RESTful APIs following API lifecycle best practices.
- Build scalable microservices and distributed systems.
- Optimize system performance and reliability.
- Collaborate with cross-functional teams to deliver backend solutions.
MUST HAVES
- 4+ years of backend engineering experience with production-grade systems.
- Expert proficiency in Java, Spring Boot, Gradle, and microservices .
- Strong RESTful API design skills and understanding of API lifecycle best practices.
- Experience with relational databases such as PostgreSQL or MySQL.
- AI fluency , including working with AI-driven requirements, integrating LLM-based workflows, understanding API patterns for AI services, and building backend features for AI-enabled products.
- Upper-intermediate English level.
NICE TO HAVES
- Experience with Kafka, RabbitMQ, or event-driven architectures.
- Familiarity with GraphQL, API Gateways, or hybrid API ecosystems.