Senior Java Engineer (AI/LLM knowledge)

ABOUT THE ROLE

In this role, you will design and deliver an agentic engineering framework that supports software development from initial concept through production deployment. You will combine senior full-stack expertise with practical knowledge of Gen AI frameworks, AI-assisted development, and modern delivery methods to build enterprise solutions for financial and product cost optimization. You will have ownership of technical decisions while working with a distributed delivery team on a complex client solution.

RESPONSIBILITIES

• Design and implement an agentic engineering framework that supports software creation from requirements analysis and planning through development, testing, deployment, and continuous improvement
• Build scalable full-stack solutions that integrate Gen AI capabilities, LLM-based services, and AI engineering tools into enterprise workflows
• Apply modern LLMs and AI-assisted development approaches to accelerate delivery, improve developer productivity, and enhance solution quality
• Define technical architecture, integration patterns, engineering standards, and reusable components for secure and maintainable AI-enabled products
• Prototype, evaluate, and productionize AI-assisted development workflows, validating their reliability, scalability, and suitability for enterprise use
• Analyze product backlogs, estimate delivery effort, decompose complex features, and identify technical dependencies and implementation risks
• Collaborate with product, engineering, data, and delivery teams to validate concepts and deliver solutions aligned with business objectives
• Own technical delivery from solution design and implementation through CI/CD, production deployment, monitoring, and continuous optimization

REQUIREMENTS

• 10+ years of commercial software development experience, including senior-level responsibility for Java solution design and delivery
• Strong expertise in front-end and back-end engineering using Java, JavaScript, TypeScript, or comparable modern application technologies
• Experience designing scalable end-to-end architectures, integration patterns, APIs, and maintainable enterprise software solutions
• Practical experience integrating LLM-based systems, AI engineering tools, and Gen AI frameworks such as LangChain into business applications
• Knowledge of agentic systems, AI-assisted engineering workflows, prompt and context design, model evaluation, and production reliability considerations
• Experience using advanced LLMs such as Opus or comparable models within structured software engineering and delivery workflows
• Understanding of code quality practices, automated testing, CI/CD, observability, security, and production deployment
• Upper-Intermediate English or higher for explaining technical decisions and collaborating effectively within a distributed team