As a business, we help Product Managers supercharge their workflows, so they can focus on what matters most: building and innovating.
Our AI Product Teammate is designed to:
– Gather product requirements faster than ever before
– Instantly scope out new features and products
– Automate the creation of clear, standardized product documentation
– Minimize unnecessary meetings and let your team focus on delivering results.
About the Role
We’re seeking an innovative Backend Development Intern specializing in AI applications. This role focuses on building intelligent systems using Python and LangChain, with exposure to modern AI development practices.
Key Responsibilities
AI Development
- Assist in building AI applications using LangChain framework
- Develop and maintain AI-powered features and services
- Help implement natural language processing solutions
- Support the integration of large language models
- Assist in fine-tuning and optimizing AI models
Backend Development
- Write clean, efficient Python code
- Develop and maintain RESTful APIs
- Implement database solutions and data models
- Help design and optimize backend architecture
- Assist in system integration and deployment
AI Operations
- Help maintain AI pipeline infrastructure
- Assist in model deployment and monitoring
- Support data preprocessing and feature engineering
- Help optimize model performance
- Document AI systems and processes
Development & Testing
- Write unit tests for backend components
- Participate in code reviews
- Debug backend issues
- Maintain technical documentation
- Support continuous integration processes
Required Technical Skills
- Strong Python programming skills
- Basic understanding of AI/ML concepts
- Knowledge of RESTful APIs
- Understanding of version control (Git)
- Basic database knowledge
Preferred Qualifications
- Experience with LangChain framework
- Familiarity with large language models
- Knowledge of natural language processing
- Experience with FastAPI or Flask
- Understanding of Docker containers
- Familiarity with cloud platforms (AWS/GCP/Azure)
- Basic understanding of vector databases
Learning Opportunities
- Hands-on experience with AI development
- Practical application of LangChain
- Backend architecture design
- AI system optimization
- Production deployment practices
- Collaboration with AI/ML teams
Technical Stack
- Python 3.x
- LangChain framework
- FastAPI/Flask
- SQL and NoSQL databases
- Vector databases
- Docker
- Cloud services
- Git
Time Commitment
- 3 month internship
- 20 or 40 hours per week
- Flexible schedule
What We Offer
- Direct exposure to AI development
- Mentorship from AI engineers
- Real-world project experience
- Access to AI development resources
- Professional development opportunities
- Industry best practices learning