Technical Lead – AI / Agentic Systems

What You’ll Be Doing

• Lead the architecture and technical direction of a strategic AI-driven product initiative
• Design and build scalable backend services and distributed systems using Java/Spring technologies
• Collaborate closely with product, engineering, and leadership stakeholders to translate business problems into AI-enabled solutions
• Drive the development of agentic AI workflows, including planning, orchestration, execution loops, and evaluation mechanisms
• Work hands-on across both backend and frontend systems where required
• Evaluate and integrate LLMs based on use case suitability, performance, latency, and cost considerations
• Implement prompt engineering strategies and optimize model parameters such as temperature, top-p, and context handling
• Build reliable and cost-efficient LLM-powered applications with strong attention to token optimization and scalability
• Contribute to AI system evaluation frameworks including usefulness, groundedness, consistency, and accuracy assessments
• Guide engineering best practices, technical decision-making, and mentoring within the team
• Operate effectively in a high-ownership, fast-moving environment with aggressive delivery timelines

What We’re Looking For

• 7+ years of software engineering experience with strong exposure to system design and architecture
• Proven experience leading or owning technical delivery for complex applications or platforms
• Strong hands-on experience with Java and Spring/Spring Boot ecosystems
• Full-stack engineering exposure with the ability to contribute across frontend and backend when needed
• Practical experience working on AI/LLM-based projects over the last 2+ years
• Strong understanding of modern LLM ecosystems including models from OpenAI, Anthropic, and similar providers
• Experience with prompt engineering and tuning model behavior for production use cases
• Familiarity with agentic AI concepts such as task decomposition, execution workflows, planning systems, feedback loops, and LLM-as-judge patterns
• Understanding of context window management, token efficiency, and cost optimization strategies
• Strong communication skills with the ability to work directly with senior leadership and cross-functional stakeholders
• Comfortable working in a fast-paced, high-visibility environment