Full Stack / AI Engineer Intern

About the Role

This is an unpaid internship for a period of 3–6 months. Candidates should apply with the understanding that no salary, wages, or stipend will be provided for the internship term. This is an opportunity to work on a product from an early stage and contribute across the full technology stack—from user-facing applications and APIs to data integrations, AI-enabled workflows, cloud infrastructure, and system architecture. You will work closely with the CEO and product stakeholders, translating business and insurance use cases into production-ready technology.

Key Responsibilities

• Design, develop, test, and deploy end-to-end web applications across the front end and back end.
• Build intuitive, responsive, and high-performing user interfaces for the Insurance Intelligence Platform.
• Develop secure and scalable APIs, backend services, and application logic.
• Design and work with databases and data models supporting insurance, financial, and intelligence datasets.
• Integrate internal and third-party data sources, APIs, and external services.
• Support the implementation of AI-powered features, including workflows involving large language models, structured data extraction, search, analytics, or intelligent automation.
• Translate business requirements and insurance use cases into clear technical solutions.
• Build reusable components and services that can scale as the platform grows.
• Implement authentication, authorization, data security, and other application security best practices.
• Write clean, maintainable, well-documented, and testable code.
• Develop automated tests and contribute to reliable CI/CD and deployment processes.
• Identify and resolve performance, reliability, and scalability issues across the application stack.
• Participate in technical architecture and technology-stack decisions.
• Conduct code reviews and contribute to engineering standards and development best practices.
• Collaborate directly with leadership, consultants, and other stakeholders in a fast-moving remote environment.

Requirements & Tech Stack

• Strong foundation in full-stack software development, with experience building end-to-end web applications.
• Proficiency with modern front-end technologies such as JavaScript/TypeScript and frameworks such as React, Next.js, Vue, Angular, or equivalent.
• Strong knowledge of HTML, CSS, responsive design, and component-based UI development.
• Experience with backend development using technologies such as Python, Node.js, Java, .NET, or similar frameworks.
• Experience designing and consuming REST APIs and/or GraphQL APIs.
• Experience working with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or equivalent.
• Understanding of application architecture, data structures, authentication, authorization, and web security fundamentals.
• Experience using Git and modern version-control workflows.
• Familiarity with automated testing, debugging, and software engineering best practices.

Preferred Experience

• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Familiarity with Docker, containerized applications, CI/CD pipelines, and modern deployment practices.
• Experience integrating AI/ML services, large language models, vector databases, RAG pipelines, or AI APIs is highly desirable.
• Familiarity with data ingestion, document processing, search, analytics, or data-intensive applications.
• Experience building SaaS, fintech, insurtech, financial-services, consulting, or enterprise technology products.
• Understanding of privacy, security, and responsible handling of sensitive financial or insurance-related information.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related discipline; current students and recent graduates with strong practical experience are also encouraged to apply.
• Demonstrated ability to build working applications through professional experience, internships, academic projects, open-source contributions, or a strong technical portfolio.
• Strong problem-solving skills and the ability to independently investigate and resolve technical challenges.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Comfortable working independently in a remote, entrepreneurial, and highly collaborative environment.
• Interest in insurance, financial services, AI, data, or enterprise technology is strongly preferred.