Technical Specialist-App Development

Area(s) of responsibility

Job Title: Senior Java Backend Developer (AI & Microservices)

REMOTE
FULLTIME

Role Overview

We are seeking an experienced and innovative Senior Java Backend Engineer to design, build, and scale our enterprise applications. In this role, you will bridge the gap between traditional Java backend systems and modern Artificial Intelligence. You will lead the integration of Generative AI models, vector databases, and autonomous AI agents to drive our next-generation product features.

Key Responsibilities

• Backend Development: Design, develop, and optimize high-throughput Spring Boot microservices and RESTful APIs ensuring high performance, scalability, and reliability.
• AI/LLM Integration: Integrate Large Language Models (LLMs) and ML models into existing enterprise systems using Java-native AI frameworks (e.g., Spring AI, LangChain4j).
• Agentic Workflows & Data: Implement Retrieval-Augmented Generation (RAG) and Agentic AI patterns, autonomously connecting AI systems with internal enterprise data and external APIs.
• Database & Storage: Architect and manage optimal data solutions across relational (SQL) databases and vector databases (e.g., PostgreSQL, Pinecone, Elasticsearch) to support AI memory and context.
• Architecture & Leadership: Participate in architectural decisions, collaborate with cross-functional teams, mentor junior developers, and enforce clean code standards.
• AI-Augmented Workflows: Utilize modern AI coding assistants (e.g., GitHub Copilot, Cursor) to enhance coding efficiency, testing, and documentation.

Qualifications & Skills

• Experience: 5 to 8 years of professional experience in software engineering with a strong focus on backend development.
• Core Languages: Deep expertise in Core Java, Java 17+, and the Spring ecosystem (Spring Boot, Spring Cloud, Spring Security).
• AI & ML Exposure: Hands-on experience integrating AI/ML models into production applications. Familiarity with Spring AI, LangChain4j, or AI platform APIs is strongly preferred.
• Data Management: Advanced knowledge of writing SQL queries, performance tuning, and working with NoSQL or Vector databases.
• System Design: Solid understanding of microservices architecture, message brokers (Kafka, RabbitMQ), and cloud environments (AWS, Azure, or GCP).
• Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience)