Full Stack AI Engineer
TECH TECHNOLOGY SOLUTIONS INC
United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Automation of Tests
Code Generation
Code Review
Continuous Integration
Software Debugging
Programming Tools
Memory Management
Systems Development Life Cycle
Data Streaming
+8 more
Network Routers
ReactJS
Large Language Models
Multi-Agent Systems
Prompt Engineering
Backend
Build Management
Restful APIs
Requirements
Do you have experience in Scalability?, * 5+ years of production full-stack engineering experience on:
- Next.js Build performant, server rendered React applications with modern App Router patterns
- Node.js Develop and maintain scalable backend services, REST and streaming APIs 6 months to 1 year of experience in AWS AI Engineering stack:
- AWS Bedrock - LLM Deployment & Management: Configure and manage foundation models through Bedrock, including model fine-tuning, prompt engineering, guardrails, and inference parameter optimization. Experience with Bedrock runtime APIs and streaming responses.
- AWS Agent Core - Agentic System Development: Design, build, and deploy autonomous agents using AWS Agent Core. Implement tool use, memory management, multi-agent orchestration, and human-in-the-loop workflows. Ability to debug and monitor agent execution traces.
- MCP Server - Model Context Protocol: Build and maintain MCP servers to expose tools, resources, and context to AI models. Implement secure, well-typed MCP interfaces and integrate them with agent runtimes and external data sources.
- AWS CI/CD - Brazil Pipeline: Familiarity with Amazon’s internal Brazil build system and associated CI/CD infrastructure. Ability to configure build environments, manage package dependencies, and integrate automated testing and deployment gates within the Brazil pipeline ecosystem.
- Kiro - AI-Powered Developer Tooling: Experience with Kiro or equivalent AI-assisted development environments. Ability to leverage AI tooling to accelerate code generation, code review, testing, and documentation workflows
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