AI Agent & LLM with backend Python (Onsite)

DMS Vision • Louisville, KY

5h • Onsite

About The Position

The AI Agent Engineer will design, build, and maintain autonomous AI agents leveraging large language models and tool orchestration. The role includes developing context management and workflow planning, integrating AI workflows with enterprise systems, and ensuring reliability, evaluation, safety, and guardrail enforcement. It will also maintain AI observability tools and document agent designs, workflows, safety measures, and architectural decisions.

The position is onsite in Louisville, Kentucky, with relocation indicated as available. The stated duration is 6+ months.

Requirements

• Experience in backend Python development, including asynchronous programming and API design.
• Hands-on experience designing and implementing autonomous AI agents using LLMs such as OpenAI or Gemini and tool orchestration such as LangGraph or Google ADK.
• Proficiency with context management, workflow planning, and stateful agent design.
• Experience integrating AI workflows with enterprise systems such as ERP and CRM platforms.
• Exposure to FinOps, cloud cost optimization, and infrastructure automation.
• Familiarity with workflow orchestration platforms such as Temporal, Airflow, or Prefect.
• Strong understanding of cloud AI ecosystems such as Google Vertex AI, ADK, and Azure OpenAI.
• Knowledge of DevOps practices, including CI/CD pipelines, containerization, Kubernetes, and cloud-native deployment.
• Experience with reliability engineering, observability, and evaluation harnesses, including tracing, logging, and dashboards.
• Familiarity with policy-driven systems or governance frameworks for AI safety and compliance.
• Excellent communication skills.
• Strong analytical and debugging mindset.
• Ability to collaborate with distributed teams.
• Documentation and knowledge-sharing skills.
• Ownership and accountability.

Nice To Haves

• Experience with the Google Cloud AI ecosystem, including Vertex AI and ADK.
• Experience building AI-driven automation platforms or enterprise copilots.
• Familiarity with workflow orchestration platforms such as Temporal, Airflow, or Prefect.
• Knowledge of DevOps practices, including CI/CD pipelines, containerization, and Kubernetes.
• Experience with AI observability tools, including tracing, logging, and evaluation dashboards.
• Exposure to FinOps, cloud cost optimization, or infrastructure automation.
• Familiarity with policy-driven systems or governance frameworks.

Responsibilities

• Design, build, and maintain autonomous AI agents using LLMs and tool orchestration.
• Develop and optimize context management and workflow planning with enterprise systems.
• Ensure reliability engineering, robust evaluation harnesses, and safety and guardrail enforcement.
• Develop and maintain observability tools for AI systems, including tracing, logging, and evaluation dashboards.
• Document agent designs, workflows, safety measures, and architectural decisions.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed