Source description
About the role
We are hiring a highly skilled Technical Lead to join a fast-paced, AI incubation initiative focused on building next-generation intelligent systems and agentic AI capabilities. This is a high-impact opportunity for someone who enjoys operating at the intersection of software engineering, architecture, and applied AI. The role requires a hands-on technical leader who can drive system design, mentor engineers, and actively contribute to the development of scalable AI-powered products under ambitious timelines. 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
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7+ years of software engineering experience with strong exposure to system design and architecture
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Proven experience leading or owning technical delivery for complex applications or platforms
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Strong hands-on experience with Java and Spring/Spring Boot ecosystems
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Full-stack engineering exposure with the ability to contribute across frontend and backend when needed
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Practical experience working on AI/LLM-based projects over the last 2+ years
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Strong understanding of modern LLM ecosystems including models from OpenAI, Anthropic, and similar providers
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Experience with prompt engineering and tuning model behavior for production use cases
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Familiarity with agentic AI concepts such as task decomposition, execution workflows, planning systems, feedback loops, and LLM-as-judge patterns
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Understanding of context window management, token efficiency, and cost optimization strategies
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Strong communication skills with the ability to work directly with senior leadership and cross-functional stakeholders
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Comfortable working in a fast-paced, high-visibility environment
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Nice to Have
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Experience with Spring AI
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Exposure to RAG architectures and vector databases/retrieval systems
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Experience building AI copilots, autonomous workflows, or internal AI productivity tools
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Prior startup or incubation environment experience
Why Join
Opportunity to work on a strategic AI initiative with strong executive sponsorship
High ownership and influence on technical direction and product evolution
Work alongside senior engineering and leadership stakeholders on cutting-edge AI systems
Build real-world AI applications with meaningful business impact
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