10x Java Developer/AI Engineer

About the role

We are seeking a 10x Java Developer/AI Engineer to join our team. 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. The ideal candidate will deliver high-scale, enterprise-ready systems at exceptional speed, designing intelligent agentic workflows, and architecting scalable backend software that leverages LLMs directly to solve complex business problems.

Responsibilities

• 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.

Requirements

• 8-10+ years in professional software engineering, with a strong focus on core backend Java platforms.
• Expert proficiency in writing automated unit, integration, and performance tests (e.g., JUnit, Mockito, Testcontainers).
• 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.
• Demonstrated mastery using GenAI developer assistants (e.g., GitHub Copilot, Claude Code, etc.) to achieve "10x" development, documentation, and unit test coverage.
• Hands-on integration with LLM APIs (OpenAI, Anthropic, or Amazon Bedrock) and vector databases.
• Building RAG and agent patterns using orchestration toolkits like Spring AI.
• Practical experience with PostgreSQL, NoSQL stores, and connection optimization.
• Experience with high-throughput message brokers like Apache Kafka or AWS SQS/SNS.
• Familiarity with Docker, Kubernetes, and major cloud environments (preferably AWS).

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related field (or equivalent industry experience).
• Experience in fintech/payments domains is a plus.

Skills

• Java 17+ or Java 21+
• Spring Boot, Quarkus, or Micronaut frameworks
• GenAI developer assistants (GitHub Copilot, Claude Code)
• LLM APIs (OpenAI, Anthropic, Amazon Bedrock)
• RAG and agent patterns
• PostgreSQL, NoSQL stores
• Docker, Kubernetes, major cloud environments (AWS)

Benefits

Not specified

Pay

$110,000.00 - $186,000.00

Schedule

On-site Monday through Friday