AI Agent & LLM with backend Python (Onsite)

Hi

Hope you are doing well

Please find the job description below and let me know your interest.

Job Title: AI Agent & LLM with backend Python (Onsite)

Location: Onsite in Louisville KY (Relocation yes)

Duration: 6 Months

Job Description:

• Python
• LLMs
• API Design
• DevOps
• Workflow Orchestration

Job Requirements*

• Experience in backend Python development including async programming and API design.
• Hands-on experience designing and implementing autonomous AI agents using LLMs (OpenAI Gemini etc.) and tool orchestration (LangGraph Google ADK).
• Proficiency with context management workflow planning and stateful agent design.
• Experience integrating AI workflows with enterprise systems (ERP CRM etc.).
• Exposure to FinOps cloud cost optimization and infrastructure automation.
• Familiarity with workflow orchestration platforms (Temporal Airflow Prefect).
• Strong understanding of cloud AI ecosystems (Google Vertex AI ADK Azure OpenAI).
• Knowledge of DevOps practices: CI/CD pipelines containerization Kubernetes and cloud native deployment.
• Experience with reliability engineering observability and evaluation harnesses (tracing logging dashboards).
• Familiarity with policy-driven systems or governance frameworks for AI safety and compliance.

Key Responsibilities*

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

• Section IV - Job Qualifications & Skills

Domain

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

Soft Skills

• Excellent communication
• Strong analytical and debugging mindset
• Collaboration with distributed teams
• Documentation and knowledge sharing
• Ownership and accountability

Role Descriptions: AI Agent engineer

Essential Skills: AI Agent engineer

Skills: AI Agents

If you are interested please share your updated resume and suggest the best number & time to connect with you

Thanks & Regards