• Leading the design and delivery of complex backend features and services, from concept through deployment and maintenance • Developing high-quality, production-grade software using Java and Spring Boot, aligned with architectural standards • Driving technical excellence by applying best practices, clean architecture principles, and robust testing strategies • Mentoring junior and mid-level engineers through code reviews, pair programming, and design guidance • Improving automation, reliability, performance, and overall engineering practices within the team • Collaborating closely with product, delivery, and engineering teams to shape effective technical solutions • Contributing to technical strategy and influencing patterns, standards, and long-term scalability.

• Designing, developing, and maintaining production-grade backend software in Java • Delivering end-to-end features: from requirements analysis and design, through implementation, testing, deployment, and maintenance • Working closely with engineering, product, and delivery teams to align technical solutions with business goals • Participating in code reviews, pair programming, and knowledge sharing within the team • Contributing to CI/CD pipelines, automated testing, and DevOps practices to improve delivery efficiency • Continuously improving code quality, reliability, and maintainability of the system

• Develop, maintain, and enhance custom web and service applications using C#, VB, ASP.NET, and SQL Server. • Configure and support commercial off-the-shelf (COTS) software used across design, document composition, manufacturing, marketing, fulfillment, and related workflows. • Troubleshoot and resolve production issues to ensure high availability and minimal downtime. • Implement corrective and preventative actions to mitigate recurring issues. • Build, optimize, and maintain SQL queries, stored procedures, and data integration processes supporting campaigns, print workflows, and digital messaging. • Provide solution architecture and system design, including data ownership definitions, systems-of-record alignment, and safeguards for integrating non-deterministic technologies such as LLMs. • Collaborate with business users, analysts, production teams, and customers to gather requirements and deliver high-quality technical solutions. • Integrate applications with third-party tools, APIs, and client systems. • Participate in code reviews, deployments, and change management processes to maintain code quality and operational stability. • Maintain clear documentation for systems, processes, and implementations to support long-term scalability and knowledge sharing.

• Co-define Landbot’s technical vision for agentic systems. • Translate high-level product and business problems into concrete agentic architectures and system designs. • Act as a technical reference for agentic patterns, trade-offs, and best practices across teams. • Design and build production-grade agentic systems including context engineering and memory strategies. • Integrate LLMs into backend systems with clear APIs, contracts, and failure modes. • Build guardrails, safety mechanisms, and fallback strategies to ensure predictable behavior in production. • Design scalable backend architectures to support AI workloads at scale. • Build and maintain APIs, services, and data pipelines that power AI agents. • Mentor and guide other engineers working on AI and backend systems. • Participate in architectural reviews and help raise the bar for engineering quality. • Collaborate closely with Product, Data, and Design to turn ideas into shipped value.