WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Cloud Generative AI Engineer

TechniPros, LLC
Hartford, CT, United States
about 1 month ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Integration Architecture Microsoft Azure Cloud Computing Github Python (Programming Language) Software Deployment Data Logging Google Cloud Large Language Models
+9 more
Prompt Engineering Generative AI Fastapi AI Platforms Kubernetes Restful APIs Terraform Docker Microservices

Job description

  • We are seeking a Cloud Generative AI Engineer with expertise in cloud-native AI development, production deployments, and enterprise AI integration using Azure AI Foundry, AWS Bedrock, or Google Vertex AI., * Develop cloud-native AI applications.
  • Build scalable RAG solutions.
  • Integrate AI services with enterprise APIs.
  • Develop secure AI microservices.
  • Deploy AI applications using Kubernetes.
  • Implement AI monitoring and logging.
  • Optimize cloud infrastructure for AI workloads.
  • Build CI/CD pipelines.
  • Implement AI governance and security.

Requirements

  • Python
  • Generative AI
  • LLMs
  • Prompt Engineering
  • RAG
  • Azure AI Foundry
  • Amazon Bedrock
  • Google Vertex AI
  • Azure OpenAI
  • Docker
  • Kubernetes
  • Terraform
  • FastAPI
  • REST APIs
  • GitHub Actions
  • Azure DevOps
  • AWS
  • Google Cloud Platform

Preferred Skills

  • MCP
  • LangChain
  • LangGraph
  • CrewAI
  • AI Security
  • Responsible AI

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:48 min

Integrating generative AI capabilities via cloud-based API endpoints

juarezjunior juarezjunior · World Congress 2024

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

5:36 min

Accelerating infrastructure as code with generative AI

Christian Denich Christian Denich +1 · World Congress 2024

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

Videos

See all
Innovating Developer Tools with AI: Insights from GitHub Next thumbnail
42:38
LIVE • over 1 year ago

Innovating Developer Tools with AI: Insights from GitHub Next

Krzystof Czieslak

OpenAPI meets OpenAI thumbnail
29:50
World Congress 2024 • about 2 years ago

OpenAPI meets OpenAI

Christopher Walles

Intro to FastAPI thumbnail
42:19
World Congress 2022 • about 4 years ago

Intro to FastAPI

Sebastián Ramírez

Docker Compose: Rediscovered thumbnail
28:40
Europe 2026 Virtual • 2 months ago

Docker Compose: Rediscovered

Matthieu Vincent

Building and Deploying Multi-Agent Systems with ADK and Vertex AI thumbnail
1:08:35
Europe 2026 Virtual • 2 months ago

Building and Deploying Multi-Agent Systems with ADK and Vertex AI

Saoussen Chaabnia

Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models thumbnail
27:07
World Congress 2025 • about 1 year ago

Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models

Kevin Lewis, Sandra Ahlgrimm

Related articles

See all