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Full stack Engineer with Python AI

Goldenpick Technologies LLCUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
Microsoft OfficeGitLLMPythonGenerative AIRESTCI/CDRAG

Job description

Role - Full-stack Engineer with Python AI
Location - Remote
Responsibilities
  • Lead the design, development, and deployment of enterprise AI solutions integrating data, applications, APIs, and business workflows.
  • Develop and implement GenAI applications, LLM integrations, AI agents, RAG solutions, and intelligent automation.
  • Provide hands-on technical leadership, mentor five developers, and establish engineering standards and best practices.
  • Translate business requirements into scalable AI solutions that improve productivity, quality, operational efficiency, and cost effectiveness.
  • Drive end-to-end engineering delivery, including solution architecture, development, CI/CD, automated testing, integration, and production readiness.
  • Leverage AI-assisted development tools to automate repetitive tasks, accelerate development, and improve software quality.
Skills Must-Have
  • Python
  • Full-Stack Development
  • Modern UI Development
  • Generative AI
  • LLM Integration
  • AI Agents
  • RAG
  • Intelligent Automation
  • REST APIs
  • Cloud Technologies
  • System Integration
  • Solution Architecture
  • CI/CD
  • Automated Testing
  • Technical Leadership
Mandatory Skills Description
  • 5+ years of progressive software engineering experience, with strong hands-on expertise in Python, full-stack development, modern UI technologies, APIs, cloud platforms, and system integration.
  • Proven experience designing and delivering AI/Generative AI solutions, LLM integrations, AI agents, RAG/grounding, and intelligent automation.
  • Solid understanding of solution architecture, CI/CD, automated testing, and production deployment.
  • Demonstrated ability to lead engineering teams, mentor developers, establish technical standards, and deliver secure, scalable solutions from concept through production.
  • Experience leading small engineering teams of approximately five developers, driving enterprise AI adoption, and implementing AI-assisted development practices to improve engineering productivity.
  • Strong background in business process automation, workflow optimization, and delivering measurable improvements in cycle time, quality, cost avoidance, and operational efficiency.
  • Experience integrating enterprise data, knowledge systems, and applications into AI-powered solutions is highly desirable.
  • AI Tool Expectations: Consistent use of enterprise-approved AI tools, including GitHub Copilot, Microsoft 365 Copilot, and other approved GenAI platforms, targeting a minimum of 90% weekly utilisation to accelerate development, improve quality, and reduce manual effort.

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