- Architect Agentic Systems: Lead the design and implementation of sophisticated coding agents and agentic platforms capable of multi-step reasoning, self-correction, and autonomous code generation.
- Scale Distributed Systems: Build and maintain high-performance, large-scale production systems that handle the compute-intensive nature of agentic workflows and AI evaluation.
- Develop Evaluation Frameworks: Create and implement rigorous AI evaluation methodologies to measure the accuracy, safety, and efficiency of generated code and agentic logic.
- Optimize for Performance: Collaborate with hardware and software teams to ensure agent-generated code and the underlying platforms are optimized for the latest NVIDIA GPU architectures.
- Establish Engineering Standards: Drive best practices for code quality, testing, and deployment within the agentic AI ecosystem to ensure reliable, production-grade output.
Requirements
- A MS in Computer Science, Computer Engineering, or a related field (or equivalent experience).
- 4+ years of experience building and maintaining large-scale production systems.
- Proven experience in building coding agents or developing comprehensive agent platforms.
- Direct experience developing skills and workflows using state-of-the-art coding agents and IDEs (e.g., Claude Code, Cursor, or Codex).
- Proficient in Python and at least one systems programming language (C++ or Rust).
- Strong background in AI evaluation and the ability to design benchmarks for complex, non-deterministic agentic behaviors.
- Experience with distributed systems and orchestration to manage high-throughput AI workloads.
Core Competencies
Demonstrates expertise in architecting agentic systems and developing evaluation frameworks for AI, with a strong focus on optimizing performance for large-scale distributed systems. Proficient in Python and systems programming languages, with a solid background in AI evaluation methodologies.
Highest-signal resume keywords
- Architecting Agentic Systems
- Building Large-Scale Production Systems
- Developing AI Evaluation Methodologies
- Optimizing Performance for NVIDIA GPU Architectures
- Proficient in Python and C++ or Rust
ATS Optimization Keywords
Hard Skills
- Python
- C++
- Rust
- AI Evaluation
- Distributed Systems
- Coding Agents
- Agent Platforms
- Benchmark Design
- Performance Optimization
- Orchestration
Industry Keywords
- Agentic Workflows
- Multi-Step Reasoning
- Self-Correction
- Autonomous Code Generation
- Code Quality Standards
Tools & Technologies
- Claude Code
- Cursor
- Codex
- NVIDIA GPU Architectures