Senior Software Engineer, Agentic AI

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor seeks an Architect Agentic Systems to lead design and implementation of coding agents and agentic platforms with multi-step reasoning, self-correction, and autonomous code generation.

You will scale distributed systems, develop evaluation frameworks, optimize for NVIDIA GPU architectures, and establish engineering standards for production-grade output across teams.

Qualifications

• MS in computer science, computer engineering, or related field (or equivalent experience).
• 4+ years of experience building and maintaining large-scale production systems.
• Proven experience in building coding agents or agent platforms.
• Hands-on with state-of-the-art coding agents and IDEs (Claude Code, Cursor, Codex).
• Proficient in Python and at least one systems language (C++ or Rust).
• Strong AI evaluation background and ability to design benchmarks for complex agentic behavior.
• Experience with distributed systems and orchestration for high-throughput AI workloads.

Responsibilities

• Architect agentic systems and agent platforms for multi-step reasoning and autonomous code generation.
• Scale distributed systems and maintain high-performance production workloads.
• Develop rigorous AI evaluation frameworks to measure accuracy, safety, and efficiency.
• Optimize performance aligned with the latest NVIDIA GPU architectures.
• Establish engineering standards for code quality, testing, and deployment.

Skills

Agentic systems architecture

Large-scale production systems

Python

C++

Rust

AI evaluation methodologies

Distributed systems

Benchmark design

Performance optimization

Orchestration

Education

MS in Computer Science / related field

Tools

Claude Code

Cursor

Codex

NVIDIA GPUs

Job description

• 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