Applied AI Researcher

Senior Technical Recruiter @ZRG Embedded

Applied AI Researchers

Our client is building a next-generation AI platform for autonomous system design and operations. Their technology understands workload characteristics, adapts to dynamic environments, and continuously optimizes multiple layers of the AI stack to meet performance and cost objectives. The platform can design and deliver system optimizations 10–100x faster than human experts, reducing weeks of effort to just hours.

The technology is grounded in over a decade of award-winning research originating from the Networks and Mobile Systems group at MIT CSAIL.

As one example, the platform recently discovered a completely novel request routing algorithm for distributed LLM serving, achieving more than a 10x reduction in latency slowdown while cutting GPU costs by over 20%. This solution was discovered and validated in simulation in just two hours — a task that would typically take an experienced systems researcher weeks.

Our client is hiring Applied AI Researchers with deep expertise in agentic AI, inference optimization, and emerging approaches to context engineering. This is a highly technical role focused on advancing the reasoning and discovery engine at the core of the platform. The objective is to fundamentally transform how computer systems are designed and optimized using

• Expertise in modern AI, AI agents, and architectures for agentic systems
• Expertise in reasoning agents, MCP server design, and/or coding agent design
• Expertise in context engineering and developing agentic systems on large codebases and technical document corpora
• Ability to design experiments, validate new ideas quickly, and reason from first principles
• PhD or equivalent with a strong research background in the relevant areas

• Experience in research-heavy environments (quant research, top AI labs, AI/ML)
• Hunger to work on new, unsolved problems to apply AI to complex computer systems
• Dislike for rigid bureaucratic engineering processes, but appreciation for disciplined engineering rigor.

• Research and develop new agentic AI approaches for system design, inference optimization, and performance reasoning.
• Discover and validate novel algorithms, including for request routing, scheduling, parallelization, GPU allocation, etc.
• Translate research insights into production-grade components of the platform.
• Build prototypes rapidly—run experiments, gather feedback, integrate results.
• Work closely with founders and engineering team on shaping research direction, system abstractions, and long-term roadmap.
• Engage with early users to understand real-world workloads and optimization needs.
• Contribute to architecture, tooling, and engineering standards as part of a small early team.

Mid-Senior level

Full-time

Software Development