Staff Engineer - Applied AI (Java)

OverviewAccellor is an AI-first digital transformation partner built for the next generation of enterprise. We help global organizations turn cloud, data, and AI into real, measurable business outcomes at scale. At Accellor, people come first. You'll be trusted, empowered, and challenged to solve meaningful problems, collaborate with exceptional teams, and continuously grow your skills while building solutions that matter. Trusted by Fortune 100 companies and global innovators, we work across industries delivering AI solutions, data platforms, and product engineering using modern, scalable technologies. If you want your work to create real impact and shape the future of enterprise, Accellor is where it happens.ResponsibilitiesDesign, develop, and maintain scalable, high-performance, and modular microservices using Java (version 21+) and Spring Boot (3.4.x)Collaborate with Enterprise Architects and Product Managers to define technical roadmaps and architectural blueprintsBuild and integrate AI-powered features, focusing on Generative AI solutionsPartner with ML and Data Science teams to productionize AI models and support cutting-edge use casesProvide technical leadership and mentorship for engineering teams; establish best practices for code quality, security, testing, and DevOpsReview code, coach engineers, and foster an inclusive, learning-rich environmentChampion innovation, stay abreast of technology trends, and drive continuous improvement in engineering processes, observability, and automationRequirementsBachelor's or master's degree in computer science, Engineering, or a related technical field10+ years of professional experience building maintainable, scalable, and high-performance systems in JavaExpert in modern Java (preferably Java 21) and hands-on with the latest features and best practicesDeep knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworksExtensive experience in designing and deploying distributed systems and microservice-based architecturesDemonstrated hands-on experience with Generative AI applications and familiarity with AI concepts such as RAG and MCPExperience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity is requiredStrong understanding of RESTful API design, secure API development, and service-to-service communication patternsProficient with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)Solid grounding in CI/CD, automated testing, infrastructure-as-code, and observabilityExcellent communication skills, a collaborative mindset, and experience mentoring engineersPreferred QualificationsExperience with Temporal (workflow orchestration) and Spring AI (artificial intelligence extensions for Spring)Open-source or community contributions in AI/Java/microservices/cloud toolsBenefitsWe strive to offer benefits that support the diverse needs of our employees. Our package includes perks like flexible and discretionary time off, healthcare coverage for you and your loved ones, and a retirement savings plan to help you plan for the future. Additionally, we offer access to flexible spending and health savings accounts, life and AD&D insurance, and opportunities for professional development. #J-18808-Ljbffr