About the Role
We seek a highly accomplished Senior Java Developer with extensive Spring experience to join our distinguished team. This pivotal role requires a seasoned professional with robust technical expertise and refined client‑facing skills, who will work closely with our esteemed clientele to deliver sophisticated and resilient solutions. The candidate will focus on implementing and owning end‑to‑end AI features, integrating Large Language Models (LLMs) into production, and contributing to AI design decisions.
Key Responsibilities
- Architect, develop, and maintain complex enterprise‑level applications utilizing the Java Spring framework and integrate advanced AI/ML features into production systems.
- Collaborate strategically with cross‑functional teams to elicit requirements, provide expert technical guidance, and ensure the successful execution of projects.
- Lead the development of highly scalable and efficient backend services leveraging the Java Spring framework.
- Design, build, and maintain key AI/ML components, including Retrieval‑Augmented Generation (RAG) pipelines and AI agent workflows.
- Implement and manage integrations with Large Language Model (LLM) APIs, handling rate limiting, error handling, caching, and building validation layers.
- Mentor and guide junior developers, fostering their professional growth and contributing to the overall advancement of the development team.
- Conduct rigorous code reviews to ensure adherence to industry best practices and established coding standards, including attention to AI‑related concerns like prompt safety and cost optimization.
- Diagnose, debug, and optimize applications to achieve peak performance.
- Maintain a comprehensive understanding of emerging trends and technologies within the Java Spring, AI/ML ecosystems.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a closely related discipline.
- Minimum of five years of progressive professional experience in software development.
- Advanced proficiency in Java and extensive expertise with the Spring Framework (Spring Boot, Spring MVC, Spring Security).
- Proven experience in designing and implementing RESTful APIs.
- Proficiency with build tools (e.g., Maven, Gradle) and version control systems (e.g., Git).
- Experience with event‑driven architectures and message queues.
- Substantial experience with database technologies, both SQL and NoSQL.
- Working knowledge of cloud platforms, preferably AWS or Azure.
- Conceptual understanding of Large Language Models (LLMs), embeddings, vector similarity, and Retrieval‑Augmented Generation (RAG) fundamentals.
- Familiarity with prompt engineering principles, including designing effective prompts, using structured outputs (e.g., JSON mode), and managing context.
- Experience writing well‑tested, production‑ready code with unit tests, integration tests, and basic AI‑specific tests.
- Exceptional problem‑solving and analytical capabilities.
- Outstanding communication skills and the ability to excel in a client‑facing environment.
- Demonstrated experience with Agile/Scrum development methodologies.
Preferred Qualifications
- Extensive experience with microservices architecture.
- In‑depth knowledge of containerization technologies (Docker, Kubernetes).
- Familiarity with CI/CD pipelines.
- Proven track record in test‑driven development (TDD) and automated testing frameworks.
- Familiarity with AI development frameworks such as LangChain or LangGraph.
- Proficiency in Python for AI scripting and prototyping.
- Basic familiarity with at least one vector database (e.g., pgvector, Pinecone).
- Any prior experience building AI‑powered features in a production environment.
- Knowledge of the telecom domain.
- Significant contributions to open‑source projects.
Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age.