Wand Synthesis AI Inc - Senior Engineering Manager / Principal Engineer, Smart Agents & Agentic Systems
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. • Experience working at companies building agentic infrastructure, autonomous systems, or AI-native products. • Experience with LLMs, NLP, generative AI, or multi-agent system design. • Experience building agent frameworks, tool ecosystems, or skill-based architectures. • Experience designing systems for agent memory, retrieval, and contextual reasoning. • Experience with real-time systems, streaming architectures, and event-driven agent execution. • Experience operating systems on Kubernetes or similar orchestration platforms. • Experience building AI systems in enterprise SaaS or large-scale product environments. • Experience designing evaluation systems for agent performance, alignment, and reliability. • Experience working in regulated or enterprise environments deploying AI systems. • Personal Characteristics: • Strong systems thinker with deep understanding of agentic architectures, infrastructure, and product integration. • High ownership mentality with accountability for delivery and reliability of agent-driven systems. • Comfortable operating at both hands-on technical depth and team leadership level. • Strong problem solver who anticipates failure modes in autonomous and distributed systems. • Collaborative mindset with the ability to work across engineering, product, and data teams. • Learning-oriented with a passion for advancing agentic AI and intelligent systems. • Calm and methodical when diagnosing complex agent behavior and system-level issues.
Responsibilities
• 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 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.
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