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Incubr

AI Engineer and Mern Developer

Actively Reviewing

Incubr

Delhi Full-Time 1–2 yrs exp Posted 5 hours ago  · Apply by Sep 14, 2026
About the Role:

We're looking for a versatile AI Engineer & MERN Stack Developer who can build intelligent, full-stack web applications end to end — from designing and training AI/ML models to architecting scalable web platforms using MongoDB, Express.js, React, and Node.js.


Key Responsibilities:
  • Design, develop, and deploy AI/ML models and integrate them into production applications (LLMs, NLP, computer vision, or recommendation systems as applicable)
  • Build and maintain RESTful APIs and backend services using Node.js and Express.js
  • Develop responsive, dynamic front-end interfaces using React.js
  • Design and manage MongoDB database schemas for optimal performance
  • Integrate AI/ML models (via APIs or custom pipelines) into MERN applications
  • Work with frameworks like TensorFlow, PyTorch, LangChain, or OpenAI/Anthropic APIs for AI feature development
  • Optimize application performance, scalability, and security
  • Collaborate with product, design, and data teams to translate requirements into technical solutions
  • Write clean, maintainable, well-documented code
  • Participate in code reviews, testing, and CI/CD pipeline management
Required Skills:
  • Strong proficiency in JavaScript/TypeScript, Node.js, Express.js, React.js, and MongoDB
  • Solid understanding of machine learning concepts, model training, and deployment
  • Experience with Python for AI/ML development
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) or open-source models
  • Familiarity with vector databases (Pinecone, Weaviate, ChromaDB) and RAG pipelines is a plus
  • Experience with REST APIs, Git, and version control
  • Understanding of cloud platforms (AWS/GCP/Azure) for model and app deployment
  • Knowledge of Docker/Kubernetes is a plus
Good to Have:
  • Experience with Next.js
  • Familiarity with prompt engineering and fine-tuning LLMs
  • Exposure to data pipelines and MLOps tools
Qualifications:
  • Bachelor's/Master's degree in Computer Science, Engineering, or related field
  • Proven portfolio/projects demonstrating both full-stack and AI/ML work