Forward Deployed Engineer, AI Solutions

Bask Health

2d•Remote

About The Position

Bask Health is a software platform for launching, managing, and growing direct-to-consumer telehealth businesses. Its platform combines patient experiences, clinical workflows, pharmacy operations, and commerce tools. The engineering team works closely with product teams and company leadership, emphasizing ownership, technical excellence, reliability, testing, and practical software development. The team uses AI-assisted development tools such as Cursor and Claude Code. The Forward Deployed Engineer, AI Solutions designs, builds, and implements AI-powered features and technical solutions across Bask Health's platform. The role combines hands-on software engineering with practical AI development, collaborating with engineering, product, operations, and other stakeholders to identify problems that can be addressed with large language models, automation, and software integrations. It focuses on implementing production-ready applications with existing AI models and services rather than conducting machine-learning research. The engineer builds applications and services that connect AI capabilities with platform functionality, internal tools, and business workflows. Work includes AI-assisted features, APIs, external AI services, and integrations that improve the flow of information between systems. The role also involves understanding requirements, troubleshooting integration challenges, and improving AI-powered workflows based on real-world usage, while maintaining reliability, security, and maintainability.

Requirements

At least 3 years of professional experience in software engineering, forward deployed engineering, solutions engineering, or a comparable hands-on technical role.
Strong programming experience with JavaScript or TypeScript.
Experience developing backend applications, APIs, or services using Node.js or comparable technologies.
Hands-on experience integrating large language models or AI APIs into software applications.
Familiarity with practical LLM application development and prompt design.
Experience building integrations between software systems and third-party services.
Strong understanding of REST APIs, webhooks, and common integration patterns.
Experience developing and maintaining production software.
Familiarity with structured data handling and application-level validation.
Experience working with SQL databases and relational data.
Understanding of asynchronous programming and client-server communication.
Ability to translate technical and business requirements into working software.
Experience debugging and troubleshooting application and integration issues.
Familiarity with error handling, logging, and reliable application behavior.
Understanding of authentication, authorization, and secure API integrations.
Familiarity with cloud infrastructure and modern deployment practices.
Experience working with Git and collaborative software development workflows.
Familiarity with automated testing and software quality practices.
Ability to evaluate technical approaches and identify practical implementation options.
Experience collaborating with product managers, engineers, and nontechnical stakeholders.
Strong problem-solving skills and attention to detail.
Ability to communicate technical concepts clearly.
Willingness to learn new AI tools, services, and development approaches.
Ability to independently manage assigned features and technical responsibilities.
Comfort working in a fast-moving, remote engineering environment.

Nice To Haves

Previous experience as a Forward Deployed Engineer, AI Engineer, or AI Solutions Engineer.
Experience integrating OpenAI, Anthropic, or comparable model APIs.
Familiarity with AI tool calling, function execution, and structured outputs.
Experience building multi-step AI workflows or agent-based applications.
Familiarity with retrieval-augmented generation (RAG).
Experience with vector databases or semantic search.
Familiarity with LangChain, LangGraph, or comparable AI orchestration frameworks.
Experience with AI evaluation and testing techniques.
Familiarity with prompt versioning and AI response monitoring.
Experience developing human-in-the-loop AI workflows.
Experience with workflow automation tools such as n8n, Zapier, or Make.
Familiarity with AWS Lambda, SQS, EventBridge, or comparable cloud technologies.
Experience with React, Next.js, and full-stack TypeScript applications.
Familiarity with tRPC, Prisma, or Drizzle ORM.
Experience developing internal tools or operational automation systems.
Experience with multi-tenant SaaS applications.
Familiarity with e-commerce, merchant operations, or customer-facing SaaS platforms.
Experience integrating healthcare or telehealth systems.
Understanding of healthcare data privacy and security considerations.
Experience using AI-assisted development tools such as Cursor or Claude Code.

Responsibilities

Build and deploy AI-powered applications and features across Bask Health's platform.
Integrate large language models and external AI services into existing software systems.
Develop backend services, APIs, and application functionality using TypeScript, Node.js, or comparable technologies.
Work with product and engineering teams to identify opportunities for practical AI solutions.
Translate business requirements into technical implementation plans.
Build integrations connecting AI services with platform APIs, databases, and external tools.
Develop AI-assisted workflows that simplify repetitive or complex tasks.
Implement structured AI responses, function calling, and tool integrations.
Build application logic that combines AI capabilities with deterministic business rules.
Develop reusable components and services for AI-powered functionality.
Support implementation of AI features within merchant-facing and internal applications.
Work with SQL databases and application data to support AI-driven workflows.
Integrate third-party services using REST APIs, webhooks, and other integration patterns.
Develop validation, error handling, and fallback behavior for AI-powered features.
Test AI integrations to identify inconsistent outputs and potential failure scenarios.
Help monitor AI application performance, reliability, and response times.
Investigate and troubleshoot issues involving AI services, APIs, and connected systems.
Collaborate with backend and frontend engineers to integrate AI features into existing products.
Build internal tools that improve operational efficiency and reduce manual work.
Document AI integration patterns, technical decisions, and implementation requirements.
Support improvements to prompt design and AI application behavior.
Identify opportunities to make AI-powered features more reusable and maintainable.
Participate in code reviews and contribute to engineering best practices.
Maintain appropriate standards for application security and sensitive data handling.
Collaborate with stakeholders to evaluate AI feature performance and usability.
Use AI-assisted development tools to improve engineering productivity.
Own assigned AI implementation projects from development through deployment and maintenance.