Junior Applied AI Engineer

Bask Health is a software platform that enables entrepreneurs, doctors, and healthcare businesses to launch, manage, and grow direct-to-consumer telehealth businesses.

Our platform brings together patient experiences, clinical workflows, pharmacy operations, and commerce tools in one place.

We're an entrepreneurial, product-focused engineering team that values ownership, technical excellence, and building software that solves real problems. Engineers work closely with product teams and company leadership, take features from idea to production, and have a direct role in shaping the platform.

Engineering at Bask is AI-first and builder-led. We use tools like Cursor and Claude Code throughout development while maintaining high standards for reliability, testing, and software quality.

We're looking for a Junior Applied AI Engineer to help develop, test, and improve AI-powered software features across Bask Health's platform.

Bask Health provides the technology behind direct-to-consumer telehealth businesses, connecting merchant storefronts, patient experiences, clinical workflows, pharmacy operations, and commerce tools. As we continue building AI-powered capabilities, we're looking for an early-career engineer who wants to apply modern AI technologies to real product challenges.

You'll work alongside experienced software engineers, applied AI engineers, and product teams to develop intelligent features that improve how merchants, patients, and internal teams interact with our platform.

This is a hands-on engineering position where you'll contribute to production software while developing your technical skills. You'll gain experience working with large language models, backend APIs, application integrations, automated testing, and AI development tools.

Your work may include implementing AI-assisted application features, integrating model APIs, improving prompts, building supporting backend services, and testing model outputs for accuracy and reliability.

You'll also help investigate technical issues, write documentation, and improve existing AI features based on feedback from engineers and product stakeholders.

We're looking for someone who understands the fundamentals of software development, has experimented with modern AI technologies, and is comfortable learning new tools and frameworks.

You don't need to have years of professional AI engineering experience. Strong personal projects, internships, coursework, open-source contributions, or other demonstrated technical work can help show your ability to succeed in this role.

Because Bask operates in healthcare-related environments, you'll learn to build AI features with appropriate attention to privacy, permissions, reliability, and human oversight. You'll work within established engineering safeguards and will not be responsible for independently designing clinical decision-making systems.

This role offers the opportunity to gain practical experience building AI-powered products, contribute meaningful engineering work, and grow alongside a team developing modern software for healthcare businesses.

• Assist with developing AI-powered features across Bask Health's platform.
• Work with experienced engineers to integrate large language models into software applications.
• Implement application features using TypeScript, JavaScript, Python, or comparable languages.
• Build and maintain backend API integrations for AI-powered functionality.
• Assist with connecting applications to approved AI model providers.
• Develop and improve prompts for supported AI features.
• Implement structured model outputs and basic response validation.
• Help build AI-assisted tools for merchant-facing and internal workflows.
• Contribute to patient-facing AI features within approved product and safety boundaries.
• Assist with developing AI-powered search, summarization, and information retrieval features.
• Write automated tests for AI integrations and application functionality.
• Help evaluate AI-generated responses for accuracy, consistency, and relevance.
• Investigate unexpected model outputs and report reproducible issues.
• Assist with testing AI features using realistic application scenarios.
• Help improve error handling and fallback behavior in AI-powered applications.
• Work with backend engineers to connect AI functionality to existing services.
• Contribute to frontend integrations for AI-powered user experiences.
• Assist with maintaining application data flows and API connections.
• Help document AI features, implementation details, and technical limitations.
• Participate in code reviews and incorporate feedback from senior engineers.
• Learn and follow Bask Health's engineering standards and development practices.
• Use AI-assisted development tools to improve productivity while reviewing generated code carefully.
• Assist with troubleshooting development and production issues.
• Collaborate with product managers and engineers to understand feature requirements.
• Help identify opportunities to improve existing AI-powered workflows.
• Participate in engineering planning, technical discussions, and team collaboration.
• Learn about secure software development and responsible handling of sensitive information.
• Take ownership of appropriately scoped engineering tasks and deliver reliable, well-tested code.

• 0–2 years of professional software engineering experience, or equivalent demonstrated experience through internships, coursework, personal projects, or open-source contributions.
• Foundational programming skills in Python, TypeScript, JavaScript, or comparable languages.
• Understanding of basic software engineering principles and application development.
• Familiarity with REST APIs or comparable application integration methods.
• Basic understanding of large language models and generative AI applications.
• Experience experimenting with AI model APIs, AI development tools, or AI-powered applications.
• Familiarity with backend development concepts.
• Understanding of basic data structures and programming logic.
• Familiarity with Git and version control workflows.
• Ability to read, understand, and modify existing application code.
• Understanding of debugging and troubleshooting fundamentals.
• Familiarity with automated testing concepts.
• Basic understanding of databases and structured application data.
• Willingness to learn new programming languages, frameworks, and AI technologies.
• Ability to follow technical documentation and implementation instructions.
• Understanding of basic authentication and application security concepts.
• Ability to write clear, maintainable code with guidance.
• Familiarity with JSON and structured API responses.
• Strong problem-solving skills and attention to detail.
• Ability to communicate technical questions and challenges clearly.
• Willingness to ask questions and incorporate engineering feedback.
• Ability to collaborate effectively with other engineers and product teams.
• Interest in developing production software rather than only experimenting with AI models.
• Strong curiosity about applied AI and modern software development.
• Ability to manage assigned tasks and communicate progress consistently.

• Internship or project experience involving AI-powered applications.
• Experience using OpenAI, Anthropic, or comparable model APIs.
• Familiarity with prompt engineering and structured model outputs.
• Experience building a chatbot, AI assistant, or other LLM-powered application.
• Familiarity with retrieval-augmented generation.
• Basic understanding of embeddings and vector databases.
• Experience with TypeScript and Node.js.
• Familiarity with React or Next.js.
• Experience with Python-based AI development libraries.
• Familiarity with LangChain, LlamaIndex, or comparable AI application frameworks.
• Experience developing backend APIs or serverless functions.
• Familiarity with SQL or relational databases.
• Exposure to AWS or other cloud platforms.
• Experience writing automated tests using Jest, Vitest, Pytest, or comparable tools.
• Familiarity with AI evaluation and testing concepts.
• Experience participating in hackathons or building independent technical projects.
• Open-source contributions or a GitHub portfolio demonstrating software development skills.
• Interest in healthcare technology, telehealth, or e-commerce platforms.
• Basic understanding of data privacy and responsible AI development.
• Experience using AI-assisted development tools such as Cursor or Claude Code.