Generative AI Engineer

Access Data Consulting Corp
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Artificial Intelligence
Cloud Computing
Cloud Engineering
Code Review
Continuous Integration
Software Debugging
Distributed Systems
Python
Performance Tuning
Software Construction
Software Deployment
Software Engineering
Data Logging
Google Cloud Platform
Enterprise Software Applications
Spring Cloud
Large Language Models
Generative AI
Infrastructure as Code (IaC)
GIT
Containerization
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Virtual Agents
REST
Terraform
Software Version Control
Docker
Microservices

Job description

We are seeking an experienced AI Software Engineer to design, build, deploy, and optimize next-generation AI agents and intelligent applications. In this role, you'll develop production-ready AI solutions using Python, Google's Agent Development Kit (ADK), and Google Cloud Platform (GCP). You'll collaborate with cross-functional teams to integrate generative AI capabilities into enterprise applications while building scalable cloud infrastructure and maintaining reliable production environments., * Design, develop, and maintain production-grade AI agents and intelligent software applications using Python and Google Agent Development Kit (ADK).

  • Deploy, monitor, troubleshoot, and optimize AI applications and supporting infrastructure within Google Cloud Platform (GCP).
  • Collaborate with data scientists, analysts, product owners, and business stakeholders to gather requirements and integrate AI-powered capabilities into existing products and workflows.
  • Build and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.
  • Develop scalable, secure, and maintainable cloud architectures supporting AI workloads.
  • Perform testing, debugging, performance tuning, and continuous improvement of AI applications throughout the software development lifecycle.
  • Monitor production environments, identify performance bottlenecks, and implement reliability improvements.
  • Contribute to architecture discussions, code reviews, documentation, and engineering best practices.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
  • 3+ years of professional software engineering experience using Python.
  • Experience developing AI applications using LLMs, AI agents, or Generative AI frameworks.
  • Hands-on experience deploying applications in Google Cloud Platform (GCP).
  • Experience with Terraform or other Infrastructure as Code (IaC) tools.
  • Experience building, deploying, monitoring, and supporting cloud-native applications.
  • Strong understanding of software engineering best practices, including testing, debugging, CI/CD, and version control.

Preferred Qualifications:

  • Experience with Google Agent Development Kit (ADK).
  • Experience with AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
  • Familiarity with Vertex AI, Gemini models, or other enterprise LLM platforms.
  • Experience with Docker, Kubernetes, or containerized deployments.
  • Knowledge of REST APIs, microservices, and distributed systems.
  • Experience implementing observability, logging, and monitoring solutions for AI applications.

Technical Skills:

  • Python
  • Google Cloud Platform (GCP)
  • Google Agent Development Kit (ADK)
  • Terraform
  • Generative AI / LLMs
  • AI Agents
  • Vertex AI
  • Git
  • CI/CD
  • Docker
  • Kubernetes (preferred)

Benefits & conditions

This is an excellent opportunity for an engineer who enjoys building end-to-end AI systems-from agent development and cloud deployment to infrastructure automation and continuous improvement.

Contract Details:

  • 6 month contract (likely to be long term w/ extensions)
  • Flexible pay based on experience
  • Fully remote but candidates local to Denver, CO will be prioritized

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