Title: AI Python Sr. Developer
Experience: 8+ Years
Location: Denver, CO (Onsite)
Seeking an experienced AI Python Sr. Developer to design, develop, deploy, and govern scalable Agentic AI solutions using Python, ADK, LLMs, multi-agent systems, GCP, 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.
· Ensure reliability, scalability, observability, and performance of AI agents. 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.
Educational Qualifications: -
Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
· Programming & Development Python (Expert level) Object-Oriented Programming (OOP) REST API Development Microservices Architecture Git / GitHub Agentic AI & Generative AI Agent Development Kit (ADK) Agentic AI solutions Multi-Agent Systems
· Prompt Engineering LLM Integration (Gemini, OpenAI, Claude, etc.) Tool Calling and Function Calling AI Agent Orchestration Frameworks Google Cloud Platform (GCP) Vertex AI Cloud Run Cloud Functions Cloud Storage Pub/Sub BigQuery IAM Monitoring & Logging Cloud Build Infrastructure & DevOps Terraform CI/CD Pipelines Docker Kubernetes (GKE) Infrastructure as Code (IaC) Testing & Operations Unit Testing Integration
· Testing Debugging & Troubleshooting Performance Optimization Monitoring & Observability L4 – L7 (Tech Lead → Architect → Principal)
· Proven experience architecting and delivering systems using agentic IDEs Ability to: • Define architectural intent that agents can follow
· Break features into agent executable tasks
· Govern AI autonomy (guardrails, permissions, reviews) • Integrate agentic workflows into CI/CD pipelines Experience supervising AI agents across:
· Multi service systems • Legacy modernization • Large codebases / monorepos Strong understanding of: • Security implications of autonomous code execution • Compliance, auditability, and traceability
· AI assisted SDLC operating models Core Responsibility: • Guide effective use of agentic IDEs for complex, multi-module or cross-service changes • Establish review practices and quality checks for AI-generated code
· Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development • Design system architectures that support AI-augmented and agentic development workflows
· Define guardrails, standards, and governance for the use of autonomous coding agents • Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt