AI Accelerated Senior Java Engineer

Location: Berkeley Heights, New Jersey, United States of America

Job ID: R-10393149

Category: Technology

Onsite

Posting Start Date: Posting Start Date: 29-July-2026

Posting End Date: Posting End Date: 28-August-2026

Calling all innovators - find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

AI Accelerated Senior Java Engineer

About your role:

As an AI Accelerated Senior Java Engineer you will be an elite software builder who delivers high-scale, enterprise-ready systems at exceptional speed, at ~10x. This role is for a highly productive engineer who multiplies their individual output by integrating advanced Generative AI and Large Language Model (LLM) developer tools into their daily workflow. Far beyond writing standard application code, this builder builds production-grade Minimum Viable Products (MVPs), designs intelligent agentic workflows, and architectures scalable backend software that leverages LLMs directly to solve complex business problems.

You will have a proven track record of shipping actual production-scale products, moving rapidly past localized sandboxes or basic code prototypes, as well as an exceptional builder mindset focused on hyper-efficiency, continuous tooling experimentation, and engineering velocity.

What you’ll do:

• High-Velocity MVP Delivery: Move rapidly from design concepts to writing production-ready code. Ship fully realized, resilient enterprise applications with speed and autonomy.
• AI-Assisted Engineering: Seamlessly embed GenAI assistants into daily workflows to drastically accelerate code writing, refactoring, test generation, and deep debugging.
• LLM & AI Application Building: Design, implement, and deploy application layers that integrate LLMs, retrieval-augmented generation (RAG) pipelines, and intelligent agentic workflows.
• Enterprise Java Engineering: Architect and write clean, maintainable, and high-performance Java code capable of processing concurrent, enterprise-scale workloads.
• CI/CD & Cloud Automation: Build and manage automated pipelines to package, test, and deploy applications continuously to cloud ecosystems.
• Architecture & Database Integration: Model secure, low-latency relational and non-relational database layers optimized for rapid application execution.
• Performance Tuning & Diagnostics: Conduct deep-dive profiling, memory leak detection, and technical troubleshooting on high-throughput backend services.

Experience you’ll need to have:

• 8-10+ years in professional software engineering, with a strong focus on core backend Java platforms.
• Execution: A proven track record of shipping actual production-scale products, moving rapidly past localized sandboxes or basic code prototypes.
• Automation & Testing: Expert proficiency in writing automated unit, integration, and performance tests (e.g., JUnit, Mockito, Testcontainers).
• Mindset: An exceptional builder mindset focused on hyper-efficiency, continuous tooling experimentation, and engineering velocity.
• Advanced, hands-on engineering using Java 17+ or Java 21+ features (e.g., Virtual Threads, Pattern Matching).
• Deep expertise with Spring Boot, Quarkus, or Micronaut frameworks for building cloud-native microservices.
• Developer Velocity: Demonstrated mastery using GenAI developer assistants (e.g., GitHub Copilot, Claude Code, etc.) to achieve “10x” development, documentation, and unit test coverage.
• LLM Engineering: Hands-on integration with LLM APIs (OpenAI, Anthropic, or Amazon Bedrock) and vector databases.
• AI Frameworks: Building RAG and agent patterns using orchestration toolkits like Spring AI.
• Data Layers: Practical experience with PostgreSQL, NoSQL stores, and connection optimization.
• Streaming/Messaging: Experience with high-throughput message brokers like Apache Kafka or AWS SQS/SNS.
• Deployment: Familiarity with Docker, Kubernetes, and major cloud environments preferably AWS.
• Bachelor’s degree in Computer Science, Information Technology, Information Systems, o…