About the RoleWe are looking for a highly hands-on Full-Stack AI/Product Engineer with 4+ years of professional experience who can take ownership of product engineering from architecture through deployment.

This is a high-ownership role.

You will work closely with the founder and be responsible for transforming AI and analytics prototypes into robust, scalable and production-ready products.

You should be comfortable working across software engineering, data, AI/ML, APIs, databases, cloud infrastructure and deployment.

What You Will OwnProduct Engineering· Design and implement production-ready application architecture.

· Review, refactor and improve existing MVP and prototype codebases.

· Build backend services, APIs and application functionality.

· Design and maintain relational databases.

· Build data ingestion and processing pipelines.

· Develop integrations with external data sources, APIs and business systems.

· Implement authentication, authorization and user management.

· Build systems capable of supporting multiple customers and deployments.

· Maintain clean, modular and maintainable code.

AI & Data· Integrate machine-learning and predictive analytics models into production applications.

· Develop data preprocessing and validation workflows.

· Work with structured business data and large datasets.

· Implement model inference and prediction pipelines.

· Monitor data quality and model performance.

· Convert analytical outputs into useful product functionality.

· Collaborate with the research/product team to implement new AI capabilities.





Product & Customer Implementation· Work closely with the founder and product team to translate business requirements into technical solutions.

· Participate in customer implementations when required.

· Understand customer data structures and integration requirements.

· Diagnose technical and data-related problems.

· Convert customer feedback into product improvements.

· Take ownership of technical delivery from development through deployment.

Required SkillsMust Have· 4+ years of professional software engineering experience

· Strong Python development skills

· Strong SQL skills

· Experience with PostgreSQL or equivalent relational databases

· Experience building REST APIs

· Experience with FastAPI, Flask, Django or equivalent

· Strong experience with Pandas / NumPy

· Experience with machine learning, predictive analytics or AI applications

· Experience with Git/GitHub

· Experience with Docker

· Experience deploying applications to a cloud environment

· Strong debugging and problem-solving skills

· Understanding of software architecture and production engineering practices

Preferred· Experience with Microsoft Azure

· Azure ML or equivalent ML deployment experience

· Experience with Streamlit

· Data engineering / ETL





· API and third-party system integrations

· CI/CD and GitHub Actions

· Application monitoring and logging

· Multi-tenant SaaS architecture

· Experience taking products from prototype/MVP → production

· Experience working in retail, e-commerce or other data-intensive business domains

What We Are Looking ForWe are looking for someone who:

· Takes ownership rather than waiting for detailed instructions.

· Can independently investigate and solve technical problems.

· Is comfortable working with incomplete or evolving requirements.

· Can make practical architecture and technology decisions.

· Can balance speed of delivery with engineering quality.

· Enjoys working across multiple technical areas rather than being restricted to one narrow function.

· Has strong product thinking in addition to coding ability.

· Is comfortable working directly with founders and customers.

· Is excited by the opportunity to build new products from the ground up.

Why Join Nutcracklab?This is an early-stage prospect with significant technical ownership.

You will have the opportunity to:

· Build AI products from the ground up.

· Work directly with the founder.

· Influence architecture and technology decisions.

· Work across AI, data and product engineering.

· Take products from idea → prototype → MVP → production.

· Help establish the company’s engineering culture and technical foundation.

· Eventually help build and lead the engineering team as the product portfolio grows.

📌 Founding Product Engineer — AI & Analytics (Kochi)
🏢 Nutcracklab
📍 Kochi