Senior Software AI Engineer

Haystack
United StatesFull-timePosted Sep 18, 2026

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

JavaSpring BootMicroservicesREST APIsDistributed SystemsEvent-Driven ArchitectureSQLCI/CDKubernetesAWS

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.

Technology51-200 employeesNewcastle upon Tyne, England