Senior Software AI Engineer
About the role
A leading solutions and analytics company that leverages unparalleled clinical and financial datasets to deliver deep insight into the performance of the healthcare system is seeking a skilled professional to join their innovative team.
The Role
Build and enhance production-grade Java/Spring Boot backend services, APIs, and microservices using AI-assisted workflows.
Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability.
Integrate services with workflow orchestration platforms for automation, intelligent routing, and decision support.
Collaborate with AI-Native Tech Leads, data teams, and adjacent teams to deliver features end-to-end.
Contribute to CI/CD, DevSecOps, and cloud-native deployments (OpenShift/Kubernetes, AWS).
Ensure adherence to technology standards, secure coding practices, and SDLC requirements.
What You'll Need
5+ years of professional backend/enterprise software engineering experience.
Strong proficiency in Java, Spring Boot, and microservices architecture, with solid REST API experience.
Demonstrated experience building and shipping production applications using AI-assisted tools (Claude, Copilot, or similar).
Experience with relational databases/SQL (PostgreSQL/Oracle) and data modeling.
Experience with event-driven/distributed systems and CI/CD, DevOps, and container/cloud platforms.
Exposure to workflow orchestration platforms (Temporal, Camunda, Flowable, JBPM, or Drools).
What's On Offer
An opportunity to work on cutting-edge AI-native development workflows.
Collaborative and dynamic team environment.
Focus on building high-quality, efficient, and safe software using AI-assisted engineering practices.
Apply via Haystack today!
Responsibilities
- Build and enhance production-grade Java/Spring Boot backend services, APIs, and microservices using AI-assisted workflows
- Review, validate, and refine AI-generated code for correctness, performance, security, and maintainability
- Integrate services with workflow orchestration platforms for automation, intelligent routing, and decision support
- Collaborate with AI-Native Tech Leads, data teams, and adjacent teams to deliver features end-to-end
- Contribute to CI/CD, DevSecOps, and cloud-native deployments (OpenShift/Kubernetes, AWS)
- Ensure adherence to technology standards, secure coding practices, and SDLC requirements
Qualifications
- 5+ years of professional backend/enterprise software engineering experience
- Strong proficiency in Java, Spring Boot, and microservices architecture, with solid REST API experience
- Demonstrated experience building and shipping production applications using AI-assisted tools (Claude, Copilot, or similar)
- Experience with relational databases/SQL (PostgreSQL/Oracle) and data modeling
- Experience with event-driven/distributed systems and CI/CD, DevOps, and container/cloud platforms
- Exposure to workflow orchestration platforms (Temporal, Camunda, Flowable, JBPM, or Drools)
Benefits
- Opportunity to work on cutting-edge AI-native development workflows
- Collaborative and dynamic team environment
- Focus on building high-quality, efficient, and safe software using AI-assisted engineering practices
Skills mentioned
About Haystack
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.