Full Stack Engineer

4 weeks ago

Thane, India mPrompto Full time

About mPrompto At mPrompto, we’re redefining how businesses engage with their customers by building an AI-powered Conversion Co-Pilot. Our mission is to help brands optimize customer journeys, increase conversions, and deliver personalized experiences to their customers on their web properties. We’re a fast-growing B2B tech startup with strong founders backed by engineering and AI/ML expertise — and we’re looking for a passionate Full-Stack Engineer who is excited to build innovative AI-driven products at scale. About the Role As a Full-Stack Engineer , you will play a pivotal role in building the core mPrompto platform from backend services and data pipelines to frontend interfaces and AI-integrated workflows. You’ll work closely with AI/ML , product and design teams to deliver high-performance and scalable systems that power intelligent customer experiences. Key responsibilities - Core Application & API Development - Build and maintain scalable REST and GraphQL APIs - Develop backend services using Python (FastAPI/Django) and Node.js (Express) - Design and optimize relational databases (PostgreSQL/MySQL) - Write robust automated tests (Pytest) - Build data ingestion pipelines using Kinesis/SQS or similar - Work with AWS Glue & PySpark for ETL processing - Manage data in S3 & query analytical systems like Redshift/Snowflake/Athena - Use Redis for caching and performance optimization - Integrate AI workflows using LangChain or similar frameworks - Work with vector databases (Pinecone, ChromaDB) for RAG systems - Deploy and manage services on AWS (EC2, S3, Lambda, RDS, API Gateway) - Build Docker-based deployments and CI/CD pipelines (GitHub Actions) - Configure Nginx and maintain Git-based workflows Core skills expected - 2+ years of full-stack engineering experience - Deep expertise in Python and Node.js/TypeScript - Proven experience in scalable API design and backend architecture - Strong understanding of ETL pipelines and cloud-first systems - Hands-on experience integrating LLM-based features in real products - Familiarity with distributed systems and performance-oriented engineering - Ability to thrive in fast-paced startup environments & ship quickly What are we offering - Be a part of the company going global .. creating real ownership & impact - Work closely with AI/ML experts and a highly ambitious founding team - Build cutting-edge AI-native systems and scale them - Grow fast with a startup mentality and shape a category-defining product - Have your ideas valued and executed to real customers

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