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AI Java Developer

Ninth Wave
Posted 4 months ago, valid for 24 days
Location

New York, NY 10008, US

Salary

$100,000 - $125,000 per year

Contract type

Full Time

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Sonic Summary

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  • Ninth Wave AI is seeking a full-time Java Developer to enhance their Compass platform, which is a Spring Boot application integrated with OpenSearch and AWS Bedrock for U.S. banks' data-sharing APIs.
  • The role involves building backend services, integrating LLM-driven assistance, and managing OpenSearch indexing, requiring hands-on experience with Java 17+, Spring Boot, and REST API design.
  • Candidates should have a strong background in integrating LLMs into Java applications, particularly with AWS Bedrock, along with experience in CI/CD and cloud platforms like AWS.
  • Preferred qualifications include experience in fintech and Generative AI applications, with a Bachelor's or Master's degree in a relevant field or equivalent experience required.
  • The position offers a competitive salary, although the specific amount is not disclosed in the job summary.



Ninth Wave

AI Java Developer

Full Time OpportunityΒ 

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 β€” 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 β€” 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 + ThymeleafΒ 
  • REST API design β€” 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 β€” AWS Bedrock preferred
  • RAG architectures β€” chunking, embedding, retrieval, citation
  • Vector databases
  • Cloud platform experience β€” AWS, specifically:
    • Elastic Beanstalk (Compass deploy target β€” 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 β€” 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 β€” or equivalent demonstrable experience shipping production Java + GenAI systems.



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