Job Description:

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.

- Robust 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

📌 Data Science (Pune)
🏢 CliqHR
📍 Pune