Data Science

We are looking for an experienced AI Full Stack Engineer to join our Data Science team. The ideal candidate should have strong expertise in Python backend development, modern frontend technologies, AI/LLM frameworks, and cloud-native application development. You will work closely with Data Scientists, ML Engineers, and Product teams to build scalable AI-powered applications and production-ready solutions.

Key Responsibilities:

• Design, develop, and maintain scalable, secure, and high-quality web applications across backend and frontend.
  


• Translate Figma or similar UI designs into functional features using React.js (or Angular) and TypeScript.
  


• Build and maintain RESTful APIs using Python (FastAPI/Flask) with secure authentication mechanisms such as OAuth2, JWT, and mTLS.
  


• Integrate frontend components with backend services and APIs.
  


• Develop AI-powered applications using LangChain, LangGraph, LangFuse, RAGAS, or similar frameworks.
  


• Collaborate with Data Scientists and ML Engineers to deploy AI/ML models into production.
  


• Containerize applications using Docker and support Kubernetes deployments.
  


• Implement automated testing using Pytest and Jest, and maintain CI/CD pipelines.
  


• Optimize application performance, scalability, and security.
  


• Work closely with DevOps, Product Managers, and cross-functional teams to deliver high-quality solutions.
  


• Mentor junior developers and promote engineering best practices.
  


• Utilize AI-assisted development tools such as GitHub Copilot, Cursor AI, and ChatGPT to improve development productivity.
  

Required Skills:

• 6+ years of experience in Full Stack or Backend development.
  


• Expert-level Python development experience with FastAPI or Flask.
  


• Strong experience with React.js or Angular and TypeScript.
  


• Experience building secure REST APIs.
  


• Hands-on experience with LangChain, LangGraph, LangFuse, RAGAS, or similar AI frameworks.
  


• Experience with Agentic AI architectures or LLM-based application development.
  


• Strong knowledge of Docker, Git, CI/CD, and automated testing (Pytest, Jest).
  


• Experience with PostgreSQL/SQL and Redis or similar caching technologies.
  


• Exposure to AWS, Azure, or GCP is preferred.
  


• Excellent problem-solving, communication, and collaboration skills.
  

Good to Have:

• Prompt Engineering.
  


• AI workflow orchestration.
  


• Autonomous Agent design.
  


• Storybook, Ladle, JFrog.
  


• Secrets management tools such as Doppler or Vault.
  


• Experience with Kubernetes.
  

Education:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  
  Apply by sending your CV to [email protected]