Full Stack AI Engineer

1 week ago

Lahore, Punjab, Pakistan Zylo Solutions Full time
Full Stack AI Engineer | Build & Deploy Cutting-Edge AI-Powered Web Apps Full Stack AI Engineer | Build & Deploy Cutting-Edge AI-Powered Web Apps

Get AI-powered advice on this job and more exclusive features.

We're an ambitious software house building custom AI agents, SaaS tools, and smart applications for clients in healthcare, e-commerce, and professional services. We're looking for a Full Stack AI Engineer who can help us develop, integrate, and deploy AI-driven applications from end to end.

If you have strong experience in both frontend/backend development and AI integration (LLMs, ML models, APIs) — and you love turning ideas into working, scalable tools — we'd love to meet you.

Responsibilities:

  • Build full-stack applications integrating OpenAI, Langchain, or similar LLMs
  • Design and develop scalable backend APIs (e.g. with Python FastAPI or Node.js)
  • Develop clean, responsive frontends (React.js/Next.js preferred)
  • Integrate third-party tools (e.g. vector DBs, speech-to-text, GPT, Zapier, Make, n8n)
  • Deploy applications via Docker, GitHub Actions, or cloud services (AWS, Vercel, Render, etc.)
  • Collaborate with UI/UX designers, product managers, and other devs
  • Write clean, testable code and manage Git repositories
  • Monitor app performance, errors, and usage to improve UX

Requirements:

  • Proven experience as a Full Stack Developer (min 3 years)
  • Hands-on experience with LLMs, GPT APIs, or custom AI model integration
  • Strong backend skills with FastAPI, Flask, or Node.js
  • Familiarity with vector databases (Pinecone, Chroma, Weaviate, etc.)
  • Comfortable with Docker, GitHub Actions, and CI/CD pipelines
  • Experience with cloud deployments (AWS, GCP, Render, or Vercel)
  • Ability to work independently and ship quickly in a startup environment

Nice to Have:

  • Experience with agents frameworks (Langchain, AutoGen, Semantic Kernel, CrewAI)
  • Experience building internal tools or no-code/low-code automation (n8n, Make.com, Zapier)
  • Exposure to SaaS metrics and dashboards
  • AI model fine-tuning, prompt engineering, or retrieval-augmented generation (RAG)
  • Part-time to start (20 hrs/week), with option to scale to full-time
  • Ongoing, long-term projects across AI automation, SaaS, and vertical-specific apps
  • Flexible hours, async-first team, competitive pay
  • Bonus structure for speed and impact
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesMarketing Services

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