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Mondo Linkedin · Posted 5d ago

Full Stack Engineer

Orlando, Florida, United States

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Indexed description

Title: Fullstack Developer

Location: Remote — with travel roughly once a month, quarterly at minimum. Travel is fully covered.

Type: Full-time, permanent

Compensation: $100,000–$120,000 base

Benefits: Health, dental, and vision coverage.


About the Role

We're a fast-growing AI startup building software that powers enterprise client solutions, and we're hiring a Full Stack Engineer to own real work from day one. This role is heavily backend-focused — roughly 80% Python, 20% React — with meaningful ownership of AWS infrastructure and AI integrations.


You'd be joining a small engineering team where what you ship is visible immediately. There's no layer of process between you and the problem. If that sounds like a feature rather than a bug, keep reading.


What You'll Do

  • Design, build, and maintain scalable backend applications in Python
  • Build and support React-based frontend features as needed
  • Configure and manage AWS environments — EC2, RDS, ElastiCache, and client-specific infrastructure
  • Design database schemas and build secure, scalable REST APIs
  • Integrate AI capabilities and automation into existing products and workflows
  • Troubleshoot production issues across client environments
  • Partner directly with client services to translate customer needs into working software
  • Own projects end-to-end: architecture, development, deployment, and ongoing support
  • Continuously evaluate and adopt new technologies, especially AI tooling and agentic workflows


What We're Looking For

  • 3–5 years of professional software engineering experience
  • Strong Python backend development experience
  • Working experience with React
  • Hands-on AWS experience — spinning up and managing infrastructure, not just deploying to it
  • Experience designing database schemas and building REST APIs
  • Ability to troubleshoot production systems and integrate third-party services
  • Startup experience, or a track record in similarly fast-paced, ambiguous environments
  • Familiarity with AI tools or LLMs — professional or personal projects both count
  • Strong problem-solving, communication, and collaboration skills
  • Ability to operate independently with minimal direction and adapt as priorities shift


Nice to Have

  • FastAPI, Django, or Flask
  • Docker, CI/CD, and cloud-native development
  • Experience integrating OpenAI, Anthropic, or other LLM APIs
  • Vector databases, AI agents, or workflow automation
  • Experience building and supporting SaaS platforms
  • Comfort working directly with customers and cross-functional stakeholders

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