About the role
We're looking for a Lead Engineer - Java + AI to drive the design and development of intelligent, scalable backend systems. This role is ideal for engineers who have a strong foundation in Java-based backend development and are excited about integrating Generative AI, LLMs, and AI-driven solutions into enterprise-grade applications.
Responsibilities:
- Design, develop, and maintain scalable backend applications using Java and modern frameworks.
- Lead the architecture and implementation of AI-powered features and services.
- Build and integrate solutions leveraging Large Language Models (LLMs), Retrieval-Augmented
- Generation (RAG), AI agents, and prompt engineering techniques.
- Collaborate with cross-functional teams including Product, Data Science, and Engineering to deliver innovative AI-driven capabilities.
- Develop secure, high-performance REST APIs and microservices.
- Optimise application performance, scalability, and reliability.
- Mentor engineers and drive engineering best practices, code quality, and technical excellence.
- Stay updated with the latest advancements in AI and apply them to solve real-world business challenges.
Requirements:
- 8+ years of experience in backend software development.
- Strong expertise in Java, Spring Boot, and Microservices Architecture.
- Hands-on experience with Generative AI, LLMs, Prompt Engineering, RAG, or AI Agent frameworks.
- Experience integrating AI models through APIs such as OpenAI, Azure OpenAI, Vertex AI, or similar platforms.
- Strong knowledge of REST APIs, distributed systems, and scalable system design.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
- Strong problem-solving skills and ability to lead technical initiatives.
Good to Have:
- Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
- Knowledge of vector databases such as Pinecone, Weaviate, Milvus, or ChromaDB.
- Exposure to MLOps, model deployment, or AI observability.
- Experience working in Agile development environments.