Title: AI Python Sr. Developer

Seeking an experienced AI Python Sr. Developer to design, develop, deploy, and govern scalable Agentic AI solutions using Python, ADK, LLMs, multi-agent systems, Google Cloud Platform, Terraform, and CI/CD, while establishing architectural standards, AI governance, observability, and enterprise-grade AI application delivery.

Responsibilities:

• AI Agent Development (40%) - Design, develop, and maintain AI agents and AI-powered applications using Python and ADK. Develop reusable agent frameworks, orchestration workflows, and integrations. Build intelligent workflows leveraging LLMs, RAG, tool calling, and multi-agent systems.
• Cloud Deployment & Operations (25%) - Deploy, monitor, and optimize AI applications and agents on Google Cloud Platform. Manage cloud-native services, APIs, compute resources, and AI infrastructure. Implement monitoring, logging, security, and operational best practices. Optimize infrastructure and application performance for cost and efficiency.
• Collaboration & Integration (15%) - Partner with data scientists, analysts, architects, and business stakeholders. Translate business requirements into AI-enabled technical solutions. Integrate AI agents into existing enterprise applications and workflows. Participate in solution design, architecture reviews, and stakeholder discussions.
• Infrastructure Automation (10%) - Develop Infrastructure as Code (IaC) solutions using Terraform. Automate environment provisioning, deployments, and cloud configurations. Implement CI/CD pipelines supporting AI application lifecycles.
• Quality Engineering & Continuous Improvement (5%) - Perform unit testing, integration testing, and troubleshooting. Improve agent evaluation, observability, and operational excellence. Resolve production issues and optimize solution performance.
• Other Duties (5%) - Support innovation initiatives and continuous learning. Contribute to AI best practices, standards, and reusable frameworks.

Requirements:

Mandatory Skills:

• Python (Expert level)
• Object-Oriented Programming (OOP)
• REST API Development
• Microservices Architecture
• Git / GitHub
• Agentic AI & Generative AI
• Agent Development Kit (ADK)
• Google Cloud Platform (Google Cloud Platform)
• Vertex AI
• Terraform
• CI/CD Pipelines
• Docker
• Kubernetes (GKE)
• Unit Testing
• Integration Testing
• Debugging & Troubleshooting
• Performance Optimization
• Monitoring & Observability

Preferred Skills:

• Continuous Delivery
• Continuous Improvement
• Continuous Integration
• DevOps
• Generative Artificial Intelligence (AI)
• Integration Testing
• Orchestration
• Performance Tuning
• Prompt Engineering
• Software Design
• Software Development Methodology