Full Stack AI Engineer

TECH TECHNOLOGY SOLUTIONS INC
United States
3 months ago

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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