Gen AI Sr. Engineer (Vertex AI / Python/ ADK)

TalentOla • Denver, CO

4d • Onsite

About The Position

Seeking an experienced Gen AI Sr. Engineer 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.

Requirements

• 8+ Years of experience
• 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
• Ability to break features into agent executable tasks
• Ability to govern AI autonomy (guardrails, permissions, reviews)
• Ability to 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
• Strong understanding of compliance, auditability, and traceability
• Strong understanding of AI assisted SDLC operating models
• Core Responsibility: Guide effective use of agentic IDEs for complex, multi-module or cross-service changes
• Core Responsibility: Establish review practices and quality checks for AI-generated code
• Core Responsibility: Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development
• Core Responsibility: Design system architectures that support AI-augmented and agentic development workflows
• Core Responsibility: Define guardrails, standards, and governance for the use of autonomous coding agents
• Core Responsibility: Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt

Nice To Haves

• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.

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.

What This Job Offers

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