AI Java Developer

AI Java DeveloperJob SummaryNew York City, NY Preferred/ Remote US basedWe are hiring an AI Java Developer to extend the KYC platform: a Spring Boot application backed by OpenSearch and AWS Bedrock that helps U.S. banks publish, monitor, and govern their open-banking / FDX data-sharing APIs. You will build backend services that ingest bank-supplied artifacts (Postman collections, OAS, configuration files), expose them through REST + Thymeleaf admin surfaces, and integrate LLM-driven assistance (Bedrock Knowledge Bases + Agents, RAG over our internal corpus) into the day-to-day operator workflow.The role is hands-on Java + Spring Boot with meaningful GenAI integration work - not a research role and not a pure prompt-engineering role. You'll own features end-to-end, from OpenSearch index design through Bedrock Agent wiring to the admin UI that exposes them.Key ResponsibilitiesDesign and develop services in the KYC Spring Boot codebase - REST APIs, admin Thymeleaf views, OpenSearch-backed data flows.Integrate AWS Bedrock (Claude family models, Knowledge Bases, Agents) into Java services for RAG, summarization, and operator-assist features.Build and maintain ingestion pipelines that turn bank-supplied artifacts (Postman collections, configuration YAML, FDX mapping spreadsheets) into structured OpenSearch documents.Wire OpenSearch indexing, tenant-scoped routing and vector search for RAG retrieval.Implement CI/CD via the existing GitHub-based pipelines; keep build and deploy times honest.Optimize application performance, scalability, and securityCollaborate with the mappings team, the Bedrock / KB content team, and the frontend / Thymeleaf maintainers to define and ship features.Write clean, maintainable, well-documented Java; favor small focused commits and reversible changes.Stay current with the Java ecosystem and the GenAI tooling landscapeTechnical SkillsStrong proficiency in Java 17+Spring BootSpring MVC + ThymeleafREST API design - JSON-in / JSON-out, paginated search endpoints, multipart uploadMicroservices / service-oriented design within a single deployableHands-on OpenSearch / Elasticsearch experienceExperience integrating LLMs into Java applications via REST clients or SDKs - AWS Bedrock preferredRAG architectures - chunking, embedding, retrieval, citationVector databasesCloud Platform Experience - AWS, SpecificallyElastic Beanstalk (Compass deploy target - not Kubernetes)Bedrock (KB + Agents)S3, IAM, CloudWatchMulti-account Organization layoutExperience with Git, Maven, and CI/CD pipelinesComfortable with relational and unstructured databasesPreferred SkillsPrior work in fintech / open banking / FDX / account-aggregation / payment-network connectivity - or willingness to learn the domain fast.Experience with Generative AI and LLM applications in productionFamiliarity with Python for AI prototyping and one-off data toolingExperience with AI security, prompt-injection defense, and data-privacy standardsExposure to Postman collection parsingExposure to Atlassian APIs