• Lead the technical design, architecture, and development of the AI Assistant Platform.
• Collaborate closely with the Product Owner, AI Engineers, and Frontend/Backend teams to define the technical roadmap.
• Ensure scalability, reliability, and high performance across distributed microservices.
• Architect and oversee the implementation of APIs, data pipelines, and AI integrations (LLMs, vector databases, RAG pipelines, fine-tuning workflows).
• Conduct code reviews and enforce best practices for maintainability, testing, and CI/CD.
• Mentor and guide developers, fostering a culture of technical excellence and collaboration.
• Translate business and product requirements into robust, production-ready technical solutions.

• Bachelor’s or Master’s degree in Computer Science or related field.
• 5+ years of professional software development experience, with 2+ years in a lead or senior engineering role.
• Proven expertise in Java (Spring Boot) and microservices architecture.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with AI/ML integrations, including LLM APIs (OpenAI, Anthropic, etc.) and vector databases (Pinecone, Milvus, Weaviate).
• Strong understanding of message brokers (Kafka, RabbitMQ) and real-time communication protocols (WebSocket, STOMP).
• Proficiency in containerization (Docker, Kubernetes) and modern CI/CD pipelines.
• Excellent leadership, problem-solving, and communication skills.

Nice to Have

• Experience building multi-tenant SaaS or AI-driven products.
• Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, etc.) and prompt engineering.
• Knowledge of data governance, security, and compliance for AI systems.
• Previous experience working with RAG-based architectures or AI workflow orchestration.