Full Stack AI Engineer
3 weeks ago
About the Role We are looking for an experienced Full-Stack Developer to join our team and take ownership of building and refining our AI-powered SaaS product. You'll be responsible for developing a scalable web app, ensuring performance, and optimizing our development workflow. This role requires high autonomy, problem-solving skills, and a proactive approach to execution.
Who You Are You're a skilled developer who thrives in independent, execution-focused environments. You can build well-structured, functional web applications and work efficiently without micromanagement. You take ownership of features end-to-end, proactively fix issues, and collaborate asynchronously while ensuring high-quality output.
Responsibilities
- Develop and maintain a full-stack web application using the MERN stack (MongoDB, Express.js, React.js, Node.js).
- Design and optimize APIs, manage databases, and integrate third-party services.
- Deploy and manage applications on AWS (EC2, S3, Lambda, MongoDB Atlas).
- Follow best practices for security, performance, and maintainability.
- Work collaboratively with the team, leveraging QA for testing and validation.
- Set a structured work schedule with defined availability for communication.
Tech Stack
- MERN Stack: MongoDB, Express.js, React.js, Node.js
- DevOps: AWS, CI/CD (Jenkins or Coolify on Hetzner or AWS EB)
Requirements
- 2+ years of full-stack development experience (full-time).
- Proficiency in JavaScript, React.js, Node.js, and API development.
- Hands-on experience with AWS deployments and basic DevOps.
- Ability to work independently and solve complex technical challenges.
Bonus Skills (Higher Pay Offered)
- Experience with LangChain, OpenAI APIs, and AI-driven features.
- Knowledge of vector databases (Pinecone, FAISS, etc.).
- LLM fine-tuning and AI model integration.
- DevOps experience with Coolify on Hetzner.
- Chrome Extension development.
Perks
- Work with bleeding-edge AI and agentic systems.
- Opportunity to be part of an innovative GenAI SaaS product.
Expectations
- Own your work. Deliver features independently with high autonomy—no micromanagement.
- Be proactive. Identify and fix issues before they escalate.
- Ensure quality. Use the QA team for validation before final review.
- Stay structured. Maintain a consistent work schedule and be available for key discussions.
- Document your work. Keep things clear, maintainable, and scalable.
- Deliver on time. Execute tasks efficiently in a fast-paced startup environment.
- Think like a user. Understand customer pain points and build solutions that matter.
- Communicate clearly. Strong communication is essential in a fast-moving startup.
- Experiment and iterate. We don't expect perfection—just a mindset of continuous learning.
Interview Process
- Intro phone call (10 mins): To asses match and expectations.
- Project Showcase (30 mins): Demo a project you have built, explaining its architecture and code quality.
- Technical Assessment (1 hour): System design and coding challenge while using AI. We want to know how you leverage AI to build features.
- Final Discussion & Offer (30 mins)
About the Founder & Product You'll be working with a Technical Product Manager launching their 7th product, a GenAI SaaS with AI-driven features like speech-to-text, text-to-speech, RAG, and agentic models. The goal is to build a reliable, scalable platform without unnecessary complexity—just well-structured, high-quality features. If you're looking for an opportunity to take ownership, work with cutting-edge AI, and grow within a high-execution environment, apply now
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