Location : San Jose, CA (Hybrid)
Duration : 12 Months
Job Description :
Roles and Responsibilities:
Design and implement scalable architectures for AI agents using LangGraph 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 LangGraph 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 (LangChain, OpenAI, etc.) • Experience with containerization (Docker), CI/CD, and cloud-based deployment infrastructure
Thanks & Regards
Bhavanesh Eamani
Lead Technical Recruiter
PH : 9724400073
Agile Enterprise Solutions Inc.
2591 Dallas Parkway Suite 300 Frisco, TX 75034
