Senior Engineering Manager / Principal Engineer, Smart Agents & Agentic Systems
Wand AI
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
agent designagent orchestrationagent lifecycle managementmachine learningPythonbackend systemsdistributed systemsAPIsreal-time executionCI/CD
Soft Skills
mentoringproblem-solvingcommunicationcollaborationleadership