ADK)- 904605

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

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

Nice To Haves

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

Responsibilities

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.
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.
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.
Develop Infrastructure as Code (IaC) solutions using Terraform.
Automate environment provisioning, deployments, and cloud configurations.
Implement CI/CD pipelines supporting AI application lifecycles.
Perform unit testing, integration testing, and troubleshooting.
Improve agent evaluation, observability, and operational excellence.
Resolve production issues and optimize solution performance.
Support innovation initiatives and continuous learning.
Contribute to AI best practices, standards, and reusable frameworks.