Senior Engineering Manager / Principal Engineer, Smart Agents & Agentic Systems
Job Description: • Lead the design and development of smart agent platforms, including how agents are created, orchestrated, and deployed. • Define and implement systems for agent skill creation, composition, and lifecycle management. • Build and evolve low-level agent infrastructure, including planning, reasoning, memory, and tool-use capabilities. • Architect frameworks for embedding models into applications and enabling agents to interact with business logic and product workflows. • Guide the development of agentic workflows that execute multi-step tasks aligned to product and business goals. • Manage and mentor a team of engineers while contributing directly to critical system design and implementation. • Collaborate with product and data teams to translate product requirements into agent capabilities and skills. • Establish best practices for agent reliability, observability, evaluation, and performance optimization. • Drive the development of systems for agent evaluation, feedback loops, and continuous skill improvement. • Ensure scalability and robustness of infrastructure supporting multi-agent systems and distributed execution. • Contribute to CI/CD and development workflows supporting agent deployment, iteration, and lifecycle management. • Troubleshoot complex issues across agent behavior, orchestration systems, and underlying ML infrastructure. • Partner with senior leadership to shape agentic platform strategy and roadmap. Requirements: • Extensive experience building production-grade agentic systems or AI platforms with autonomous capabilities. • Strong hands-on expertise in low-level agent design, including planning, memory, tool use, and reasoning systems. • Proven experience building systems for agent skill development, orchestration, and execution. • Experience embedding machine learning models into real-world applications and product workflows. • Strong programming skills (Python or similar) with experience building scalable backend systems for AI applications. • Deep understanding of distributed systems, APIs, and real-time execution environments for agents. • Experience designing and operating systems on cloud platforms such as AWS, Azure, or GCP. • Experience managing and mentoring engineers while remaining deeply hands-on in system design and development. • Strong debugging and problem-solving skills across complex agentic and ML systems. • Ability to translate product goals into technical systems and agent capabilities. • Strong communication skills and ability to collaborate across engineering, product, and data teams. Benefits: • Remote work options