AI Developer
Listed on 2026-07-01
-
Software Development
AI Engineer (Applied/Software), AI Reliability/ Performance Engineer, Machine Learning/ ML Engineer
AI Developer
Location – Remote (Occasional Travel to RTP, NC or San Jose, CA) Fulltime/Contract
Key Responsibilities• Design and implement scalable architectures for AI agents using Lang Graph and the A2A protocol
• Build robust evaluation pipelines to benchmark agent behavior, quality, and performance (e.g., using AI evals, custom metrics)
• Fine-tune and optimize system prompts and agent configurations for specific tasks and workflows
• Ensure scalability, fault tolerance, and performance tuning of agent systems in production environments
• Manage deployment workflows using tools like Docker, Kubernetes, and CI/CD pipelines
• Implement logging, monitoring, and feedback loops to continuously improve agent performance and reliability
Requirements• Hands-on experience deploying and scaling AI agents in production environments
• Strong familiarity with Lang Graph and Agent-to-Agent (A2A) communication protocols
• Experience with AI evaluation techniques, prompt iteration workflows, and outcome benchmarking
• Proven ability to fine-tune system prompts and agent behaviors for robustness and alignment
• Proficiency in Python and experience working with modern ML/LLM frameworks (Lang Chain, OpenAI, etc.)
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).