Gen AI Cloud Engineer

AIRFOIL PUBLIC RELATIONS, INC.
South Jordan, United States of America
2 days ago

Role details

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

Job location

South Jordan, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Cloud Computing Security
Cloud Database
Cloud Engineering
Continuous Integration
DevOps
Distributed Systems
Amazon DynamoDB
Github
Identity and Access Management
Python
PostgreSQL
Enterprise Messaging Systems
Node.js
Scrum
RabbitMQ
Redis
Cloud Services
Swagger
Amazon Web Services (AWS)
Systems Architecture
Systems Integration
Openapi
Large Language Models
Multi-Agent Systems
Generative AI
AWS Lambda
Infrastructure as Code (IaC)
Backend
GIT
Servicebus
Event Driven Architecture
Build Management
AI Platforms
Kubernetes
Infrastructure Automation Frameworks
Kafka
Virtual Agents
Cloudwatch
REST
Amazon Web Services (AWS)
Terraform
Serverless Computing
Docker
Microservices

Job description

We are seeking a Senior GenAI Cloud Engineer to design and build next-generation AI-powered cloud solutions. In this role, you will integrate Generative AI (LLMs) with our AI platform, build cloud-native serverless applications, and develop event-driven architectures that enable intelligent automation at scale. This is an exciting opportunity to work with OpenAI, Amazon Bedrock, AI Agents, Multi-Agent Systems, AWS Serverless, and modern cloud technologies while contributing to cutting-edge AI products., * Design, develop, and maintain scalable cloud-native backend applications using AWS services.

  • Build and enhance Multi-Agent AI Platforms and Model Context Protocol (MCP) Services.
  • Integrate and optimize Large Language Models (LLMs) using OpenAI APIs, Amazon Bedrock, and AI frameworks.
  • Develop reusable APIs, microservices, and backend modules for AI-driven workflows.
  • Design and implement event-driven architectures using AWS Lambda, EventBridge, Step Functions, SNS, and SQS.
  • Build secure, scalable REST APIs and integrate third-party services.
  • Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC).
  • Develop and maintain CI/CD pipelines using GitHub Actions.
  • Collaborate with engineering, DevOps, and product teams to deliver AI-powered features.
  • Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.
  • Monitor applications using CloudWatch, troubleshoot production issues, and improve system performance.
  • Contribute to system architecture, technical documentation, and engineering best practices.

Requirements

  • 6+ years of backend software development experience using Python, Node.js, or Java.

  • Strong hands-on experience with AWS Serverless Architecture, including:

  • AWS Lambda

  • Step Functions

  • EventBridge

  • S3

  • IAM

  • SNS

  • SQS

  • CloudWatch

  • Experience designing and implementing event-driven, distributed systems.

  • Strong experience building REST APIs, microservices, and backend services.

  • Experience with OpenAPI/Swagger.

  • Hands-on experience with Terraform or other Infrastructure as Code (IaC) tools.

  • Experience integrating Generative AI, Large Language Models (LLMs), OpenAI APIs, or Amazon Bedrock.

  • Familiarity with AI frameworks such as LangChain or similar.

  • Experience with Git, GitHub Actions, and CI/CD pipelines.

  • Strong understanding of cloud security, IAM, and infrastructure best practices.

  • Excellent communication skills with experience working in Agile/Scrum environments.

  • Ability to work independently in a remote team environment., * Experience building AI Agents, Agentic AI, or Multi-Agent Systems.

  • Knowledge of Model Context Protocol (MCP).

  • Experience with Retrieval-Augmented Generation (RAG) architectures.

  • Familiarity with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.

  • Experience with Docker, Kubernetes, ECS, or EKS.

  • Experience with PostgreSQL, DynamoDB, Redis, or other cloud databases.

  • Knowledge of messaging platforms such as Kafka or RabbitMQ.

  • Experience optimizing AI workloads for performance, scalability, and cost.

Technical Skills Languages: Python, Node.js, Java Cloud: AWS, Lambda, Step Functions, EventBridge, S3, IAM, SNS, SQS, CloudWatch AI/ML: Generative AI, LLMs, OpenAI, Amazon Bedrock, LangChain, MCP, Agentic AI, Multi-Agent Systems Infrastructure: Terraform, Infrastructure as Code (IaC), GitHub Actions, CI/CD Architecture: Serverless, Event-Driven Architecture, Microservices, Distributed Systems APIs: REST APIs, OpenAPI, Swagger

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