[Hiring] Junior Applied AI Engineer @Bask Health

Role Description

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

• 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.

Qualifications

• 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.

Nice to Have

• 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.