Senior Engineer Applied AI (Java)
full-time•Seattle
About this role
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.
Job Description
- Design, develop, and maintain scalable, high-performance microservices using Java (version 21+) and Spring Boot (3.4.x) to power AI-enabled applications.
- Contribute to the architecture and implementation of applied AI solutions across enterprise workflows including automation, document intelligence, decision support, and intelligent assistants.
- Build and integrate AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic using Java-based AI frameworks.
- Implement Retrieval-Augmented Generation (RAG) patterns, Model Context Protocol (MCP) integrations, and agent skills to enhance AI application capabilities.
- Develop systems that meet high standards for scalability, resilience, performance, and availability in production environments.
- Leverage knowledge graphs and vector databases to enhance reasoning, entity relationships, and context retrieval in AI workflows.
- Collaborate with product, engineering, operations, and analytics partners to translate business needs into technical designs and deliver scalable AI solutions.
- Participate in code reviews, provide constructive feedback, and help junior engineers develop AI and agentic workflow skills.
- Drive continuous improvement by exploring new models, frameworks, and reasoning techniques and applying them to real-world challenges.
- Utilize AI-assisted development tools (e.g., Claude, Cursor, Codex) to accelerate development and improve engineering productivity.
- Contribute to engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.
- Bachelor's or master's degree in computer science, Engineering, or a related technical field.
- 5+ years of professional software engineering experience building maintainable, scalable, and high-performance systems in Java.
- Strong proficiency in modern Java (preferably Java 21) with familiarity of recent features and best practices.
- Solid knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworks.
- hands-on experience working with Generative AI, LLM-based systems, or AI-powered applications.
- Experience in designing and deploying distributed systems and microservice-based architectures.
- Understanding of AI concepts including agent architectures, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and workflow orchestration.
- Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity.
- Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns.
- Familiarity with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Solid understanding of CI/CD, automated testing, and observability practices.
- Good communication skills and a collaborative, team-oriented mindset.
- Ability to collaborate across teams and co-create solutions with engineers, product managers, and domain experts.
Nice to Have
- Experience deploying AI components in Java ecosystems including Spring AI, LangChain4j, or Embabel.
- Hands-on experience with Temporal or similar workflow orchestration frameworks.
- Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector) and knowledge graph technologies.
- Familiarity with Python-based AI frameworks (LangChain, LlamaIndex, Hugging Face) for prototyping or integration.
- Experience with insurance, financial services, or other regulated industries.
- Background in document intelligence, fraud detection, or anomaly modeling.
- Experience mentoring junior engineers or leading small project initiatives.
- Contributions to open-source projects in AI, Java, microservices, or cloud tools.
- Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance.
- Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
- Financial benefits including market-competitive compensation; a 401K savings plan, performance and recognition-based incentives; and tuition assistance.
- Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
- Supports flexibility- We provide workplace flexibility as well as our Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
What you'll do
- Design, develop, and maintain scalable microservices using Java and Spring Boot for AI applications. Collaborate with various teams to translate business needs into technical designs and deliver scalable AI solutions.
About Accellor
We believe that constant innovation is key to staying relevant and competitive. We exist to guide innovative companies like yours throughout the transformation journey and beyond, making your organization future-proof and future-ready.
Our work spans the breadth of your enterprise — from customers to employees and operations. We simplify and optimize internal and external processes and strengthen your business potential.
We don’t use a cookie-cutter approach. Before we offer solutions, we actively listen to your questions and concerns. We conscientiously evaluate your current environment, processes, and challenges to ensure we provide you with the right mix of solutions and services.
We are uniquely focused on delivering rapid business growth through services and technology solutions that evolve how our clients interact with their customers, employees and partners. We leverage best of breed Mobile, Machine Learning, and Cloud platforms to deliver results. Fast.
With over 200 highly motivated people in 5 countries, we bring a refreshingly honest, personal and effective approach to making things happen.
Ready to join Accellor?
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Frequently Asked Questions
What does a Senior Engineer Applied AI (Java) do at Accellor?
As a Senior Engineer Applied AI (Java) at Accellor, you will: design, develop, and maintain scalable microservices using Java and Spring Boot for AI applications. Collaborate with various teams to translate business needs into technical designs and deliver scalable AI solutions..
Is the Senior Engineer Applied AI (Java) position at Accellor remote?
The Senior Engineer Applied AI (Java) position at Accellor is based in Seattle, Washington, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Senior Engineer Applied AI (Java) position at Accellor?
You can apply for the Senior Engineer Applied AI (Java) position at Accellor directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.