Staff Engineer - Applied AI (Java)

Accellor; Palo Alto (CA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Flexible time off

Healthcare coverage

Retirement savings plan

Professional development opportunities

Job summary

An AI-first digital transformation partner based in California is looking for a seasoned Software Engineer to build and manage scalable microservices using Java and Spring Boot. The role involves collaboration with product teams to integrate AI features and ensure high performance in software solutions. A Bachelor's or Master's degree in Computer Science or Engineering and 10+ years of relevant experience, particularly with Generative AI, are essential. Competitive benefits including flexible time off and healthcare coverage are offered.

Qualifications

• 10+ years of experience in building scalable, high-performance systems.
• Expert in modern Java and Spring Boot.
• Hands-on experience with Generative AI applications.

Responsibilities

• Design and maintain high-performance microservices.
• Collaborate with architects to define roadmaps.
• Integrate AI-powered features into projects.

Skills

Java

Spring Boot

AI and Generative AI

Microservices

Distributed Systems

RESTful API Design

Cloud Technologies (AWS/Azure/GCP)

Docker

Kubernetes

CI/CD

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

CI/CD Tools

Git

Temporal

Job description

Overview

Accellor 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.

Responsibilities

• Design, 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 blueprints
• Build and integrate AI-powered features, focusing on Generative AI solutions
• Partner with ML and Data Science teams to productionize AI models and support cutting-edge use cases
• Provide technical leadership and mentorship for engineering teams; establish best practices for code quality, security, testing, and DevOps
• Review code, coach engineers, and foster an inclusive, learning-rich environment
• Champion innovation, stay abreast of technology trends, and drive continuous improvement in engineering processes, observability, and automation

Requirements

• Bachelor's or master's degree in computer science, Engineering, or a related technical field
• 10+ years of professional experience building maintainable, scalable, and high-performance systems in Java
• Expert in modern Java (preferably Java 21) and hands-on with the latest features and best practices
• Deep knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworks
• Extensive experience in designing and deploying distributed systems and microservice-based architectures
• Demonstrated hands-on experience with Generative AI applications and familiarity with AI concepts such as RAG and MCP
• Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity is required
• Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns
• Proficient with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Solid grounding in CI/CD, automated testing, infrastructure-as-code, and observability
• Excellent communication skills, a collaborative mindset, and experience mentoring engineers

Preferred Qualifications

• Experience with Temporal (workflow orchestration) and Spring AI (artificial intelligence extensions for Spring)
• Open-source or community contributions in AI/Java/microservices/cloud tools

Benefits

We 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.