| Job Description: |
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).
• Integrate agent workflows with enterprise systems, APIs, and third-party tools.
• Implement CI/CD, containerization, and cloud deployment strategies for scalable AI solutions.
• Collaborate with cross-functional teams to ensure alignment with enterprise AI governance, responsible AI, and compliance standards.
• 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
Experience Required: 8-10
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