Accellor · 1 day ago
Senior Engineer Applied AI (Java)
Chevy Chase, MD
Full-time
Hybrid
Senior Level
$105K/yr - $195K/yr
5+ years expAccellor is an AI-first digital transformation partner that helps global organizations leverage cloud, data, and AI for measurable business outcomes. The Senior Engineer Applied AI will design and maintain scalable microservices using Java and contribute to the architecture of applied AI solutions across enterprise workflows.
Artificial Intelligence (AI)Information TechnologySoftware
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
Qualification
Required
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
Preferred
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
Company
Accellor
Accellor is a premier provider of Mobile,Social and Web solutions enabling enterprises to provide a unified customer experience.
201-500 employees
H1B Sponsorship
Accellor has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (3)
2023 (5)
Funding
Current Stage
Growth StageLeadership Team
Michael Kleemann
Chief Revenue Officer (CRO)
Company data provided by crunchbase