Hybrid Senior Engineer – Applied AI, Java

at Accellor

• Job title: Senior Engineer – Applied AI, Java
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Distributed Systems, Docker, Google Cloud Platform, Java, Kubernetes, Microservices, Python, Spring, Spring Boot, SpringBoot
• Location requirements: Hybrid, Chevy Chase, United States

About the role

• Senior Engineer Applied AI designing and maintaining microservices using Java and Spring Boot. Collaborating across teams to implement AI solutions in enterprise workflows.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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.