Key Facts

Remote From:

Full time

English

Hard Skills

Python (Programming Language) Performance Systems Analysis Negative Feedback Cloud Computing Kubernetes Scalability Log Monitoring Agent-Based Model CI/CD Docker (Software) Fault Tolerance OpenAI Gym

Roles & Responsibilities

Hands-on experience deploying and scaling AI agents in production environments
Strong familiarity with LangGraph and Agent-to-Agent (A2A) communication protocols
Proficiency in Python and experience with modern ML/LLM frameworks (LangChain, OpenAI, etc.)
Experience with containerization (Docker), CI/CD, and cloud-based deployment infrastructure

Requirements:

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
Manage deployment workflows using Docker, Kubernetes, and CI/CD pipelines

Job description

Please submit profiles for Full time AI Engineer profiles.

Agency Rate - 65/Hr

Candidate should be ready to take an online coding test in next 24 hr.

Location - Remote( ( Occasional Travel to NC or CA )

Key Responsibilities for AI Developer:
• 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

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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