Fullstack Developer AI

Dataflow; Dadri; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

Dataflow is hiring an experienced full-stack AI engineer in India to design and deploy AI/ML systems. The role spans backend services, frontend interfaces, and end-to-end integration of ML inference with web apps.

The candidate should have strong Python expertise, experience with FastAPI or Django, and proficiency in React.js, along with hands-on experience in DL frameworks and vector databases.

Qualifications

• Minimum 4+ years of professional experience in full-stack software development with a core focus on AI/ML integration.
• Solid foundation in frameworks like PyTorch or TensorFlow; hands-on experience with LLM frameworks and vector stores.
• Deep expertise in Python and asynchronous API development (FastAPI preferred, Django/Flask).

Responsibilities

• AI/ML Development & Deployment: Build, fine-tune, evaluate, and deploy models and NLP/vision solutions into production.
• Backend Architecture: Architect high-throughput, low-latency microservices and RESTful/WebSocket APIs using Python.
• Frontend Engineering: Develop intuitive, performant user interfaces in React.js to surface real-time AI outputs and analytics.
• End-to-End System Integration: Integrate asynchronous ML inference engines, vector databases, and caching with web backends and UI.
• Scalability & Performance: Optimize model serving, containerize services with Docker, and follow robust CI/CD practices.
• Code Quality & Mentorship: Drive clean architectural patterns, review code, and mentor junior engineers on full-stack AI best practices.

Skills

AI/ML development

Backend architecture

Frontend engineering

Full-stack

CI/CD practices

Education

B.Tech/B.E./M.Tech/MCA in CS/IT

Tools

PyTorch

TensorFlow

LangChain

LlamaIndex

Hugging Face

OpenAI APIs

FastAPI

Docker

Job description

Key Responsibilities

• AI/ML Development & Deployment: Build, fine-tune, evaluate, and deploy machine learning models, Large Language Models (LLMs), NLP workflows, or Computer Vision solutions into production.
• Backend Architecture: Architect high-throughput, low-latency microservices and RESTful/WebSocket APIs using Python (FastAPI, Django, or Flask).
• Frontend Engineering: Develop intuitive, performant user interfaces in React.js (including state management, modern hooks, and component libraries) to surface real-time AI outputs and analytics.
• End-to-End System Integration: Seamlessly integrate asynchronous ML inference engines, vector databases, and caching layers with web backends and UI components.
• Scalability & Performance: Optimize model serving (latency, memory footprint, throughput), containerize services using Docker, and follow robust CI/CD practices.
• Code Quality & Mentorship: Drive clean architectural patterns, participate in code reviews, and guide junior engineers on full-stack AI best practices.

Required Skills & Qualifications

• Experience: Minimum 4+ years of professional experience in full-stack software development with a core focus on AI/ML integration.
• AI/ML Tech Stack: Solid foundation in frameworks like PyTorch or TensorFlow; hands-on experience with LLM frameworks (e.g., LangChain, LlamaIndex, Hugging Face, or OpenAI APIs) and vector stores.
• Backend Proficiency: Deep expertise in Python and asynchronous API development (FastAPI preferred, Django/Flask).
• Frontend Proficiency: Strong command of modern React.js, JavaScript/TypeScript, HTML5, CSS3, and modern UI frameworks (e.g., Tailwind CSS, Material UI).
• Database & Cloud: Familiarity with relational/NoSQL databases (PostgreSQL, MongoDB) and cloud deployment (AWS/GCP/Azure, Docker).
• Education: B.Tech/B.E./M.Tech/MCA in Computer Science, Information Technology, or a related discipline.