Website:
nutcracklab.com
Job details:
About the Role
We 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 For
We 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 opportunity 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.
Click on Apply to know more.
