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

Denver, CO, US • Posted 5 hours ago • Updated 3 hours ago
Contract Corp To Corp
Travel Required
On-site
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Job Details

Skills

  • Terraform
  • Business Requirements
  • Unit Testing
  • microservices
  • Kubernetes
  • automation
  • Restful APIs
  • Docker
  • Cloud storage
  • BigQuery
  • google cloud
  • Governance
  • Workflows
  • Problem solving
  • Infrastructure Management
  • Identity and Access Management
  • Artificial Intelligence
  • Systems Integration
  • Business Process Improvement
  • Generative AI
  • Testing Skills
  • Prompt Engineering
  • Large Language Models
  • Safety Principles
  • Application Programming Interfaces (APIs)
  • Computer Programming
  • Multi-Agent Systems
  • Python (Programming Language)
  • Reliability
  • Software Debugging
  • Cloud Computing
  • Continuous Integration
  • Infrastructure as Code (IaC)
  • Scalability
  • Operational Excellence
  • Data Logging
  • Serverless Computing
  • Team Working
  • Quality Management
  • Application Performance Management
  • Infrastructure Automation Frameworks
  • Object-Oriented Software Development
  • Virtual Agents
  • Integration Tests
  • Enterprise Software Applications
  • Architecture Analysis
  • Build Server
  • Publish Subscribe
  • Software Applications
  • Continuous Training
  • Application Frameworks
  • AI Infrastructure

Summary

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

Experience: - Min 8+ Years

Location: - Denver, CO (Onsite)

Seeking an experienced Gen AI Sr. Engineer 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.

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 (Google Cloud Platform) 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

Skills

GenAI, AgenticAI, Python, ADK, VertexAI, Cloud

VeeRteq Solutions is an Equal Opportunity Employer
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91122967
  • Position Id: 2026-4481
  • Posted 5 hours ago

Company Info

About ADDSOURCE

AddSource is a premier staffing and workforce solutions partner headquartered  in  Delaware,  USA,  with  operations  in  Alberta,  Canada  under  the  brand  name AddSource.

We  specialize  in  connecting  top-tier  talent  with  leading organizations across diverse industry sectors.

With  a  strong  commitment  to  excellence,  our  mission  is  to deliver innovative, customized staffing solutions that empower clients  to  achieve  their  goals  while  helping  candidates advance their careers.

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