Sr. GenAI Cloud Engineer

Spectraforce
North Chicago, 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

North Chicago, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Engineering
Continuous Integration
DevOps
Github
Identity and Access Management
Python
Node.js
Swagger
Openapi
Large Language Models
Multi-Agent Systems
State Machines
AWS Lambda
Backend
Servicebus
Event Driven Architecture
AI Platforms
Infrastructure Automation Frameworks
Dynamic Content
Api Design
Cloudwatch
Amazon Web Services (AWS)
Terraform

Job description

Build scalable backend services with AWS (Lambda, Step Functions, EventBridge, S3). Build Multi-Agent AI Platform and MCP Services. Integrate LLMs (OpenAI, Bedrock). Develop reusable APIs and modules for template parsing and dynamic content. Manage infrastructure with Terraform and CI/CD pipelines (preferably Github actions). Prototype agent-based AI coordination for smart workflows. Optimize performance, reliability, and cost across backend systems. Ensure security and compliance across infrastructure and services. Contribute to architecture decisions and technical documentation.

Day-to-Day Tasks Join standups and collaborate with engineering and product teams. Write clean, maintainable code and review peer pull requests. Experiment with LLM APIs and deliver quick iterations on AI features. Deploy, monitor, and troubleshoot services using CloudWatch Evolve IaC and CI/CD processes in partnership with DevOps. Document systems clearly for both engineers and stakeholders.

Requirements

6+ years in backend/cloud development (Python, Node.js, or Java). Expert in AWS: Lambda, S3, Step Functions, EventBridge, IAM. Strong grasp of event-driven architecture and messaging (SNS, SQS). API development experience; familiarity with OpenAPI/Swagger. Proficient with Terraform or similar IaC tools. Experience working with LLM APIs or GenAI frameworks (e.g., LangChain, Bedrock, OpenAI). Excellent communication skills; self-driven in a remote, agile setting.

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