Build and maintain Java and Spring Boot backend services for the Compass open-banking platform. Integrate AWS Bedrock models, Knowledge Bases, and Agents to deliver RAG, summarization, and operator-assistance features. Develop ingestion pipelines for banking artifacts, OpenSearch indexing and vector retrieval, REST APIs, Thymeleaf administration views, and CI/CD workflows. Optimize security, scalability, and performance while collaborating with mappings, AI content, and frontend teams.
Ninth Wave
AI Java Developer
Full Time Opportunity
New York City, NY
Job Summary
We are hiring an AI Java Developer to extend the Compass 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 Responsibilities
- Design and develop services in the Compass 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 security
- Collaborate 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 landscape
Required Skills & Qualifications
Technical Skills
- Strong proficiency in Java 17+
- Spring Boot
- Spring MVC + Thymeleaf
- REST API design — JSON-in / JSON-out, paginated search endpoints, multipart upload
- Microservices / service-oriented design within a single deployable
- Hands-on OpenSearch / Elasticsearch experience
- Experience integrating LLMs into Java applications via REST clients or SDKs — AWS Bedrock preferred
- RAG architectures — chunking, embedding, retrieval, citation
- Vector databases
- Cloud platform experience — AWS, specifically:
- Elastic Beanstalk (Compass deploy target — not Kubernetes)
- Bedrock (KB + Agents)
- S3, IAM, CloudWatch
- Multi-account Organization layout
- Experience with Git, Maven, and CI/CD pipelines
- Comfortable with relational and unstructured databases
Preferred Skills
- Prior 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 production
- Familiarity with Python for AI prototyping and one-off data tooling
- Experience with AI security, prompt-injection defense, and data-privacy standards
- Exposure to Postman collection parsing
- Exposure to Atlassian APIs
Educational Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field — or equivalent demonstrable experience shipping production Java + GenAI systems.
Ninth Wave New York, New York, USA Office
115 Broadway, New York, NY, United States, 10006
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Leads engineering teams and portfolios, architects scalable cloud-native systems, and develops full-stack distributed applications. Designs AI- and ML-enabled solutions using LLMs and modern cloud infrastructure, mentors engineers, drives architectural standards, and partners with product leaders. Responsibilities include building reliable microservices, APIs, data platforms, and personalized customer experiences using Java, JavaScript, TypeScript, Python, Go, AWS, databases, containers, CI/CD, observability, and automated testing.
Top Skills:
AgileAmazon DynamodbAmazon RdsAsynchronous ApisAWSAws GlueAzureBitbucketC#Ci/CdClaude CodeDatabricksDataflowDockerGCPGenerative AiGitGitGoInfrastructure As CodeJavaJavaScriptKafkaKubernetesLarge Language ModelsNode.jsNoSQLPythonRdbmsRustScalaSpringSQLSynchronous ApisTypescript
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Oversee loan agency operations for complex capital markets transactions, including transaction processing, invoicing, payments, reporting, data governance, deal closings, funding, quality checks, stakeholder communications, team training, and procedure updates. Perform loan calculations, resolve operational issues, maintain compliance, and support an assigned portfolio of clients and financial transactions.
Top Skills:
ClearparDebtdomainIlevelLoan IqExcelMS OfficeWso
Artificial Intelligence • Legal Tech • Software
Build and own Legora’s Growth data foundation, including trusted dbt models, data pipelines, shared GTM metrics, dashboards, and data activation into business systems. Partner with Marketing, Sales, RevOps, and Customer Success to analyze funnels, attribution, pipeline, retention, expansion, and customer behavior. Improve data quality, conduct business deep dives, and establish scalable data-team standards and tooling.
Top Skills:
BrazeCensusCustomer.IoDagsterDbtDltGongHexHightouchHubspotIntercomIterableMarketoOutreachPythonReverse EtlSalesforceSalesloftSnowflakeSQLZendesk
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
