Forward Deployed Engineer, AI Solutions

New
B
Bask HealthTelehealth software
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years of professional experience in software engineering, forward deployed engineering, solutions engineering, or a comparable hands-on technical role.
Required Skills
Node.jsSQLGitJavascriptTypeScriptRESTful APIsLLM

Requirements

  • Have 3+ years of professional experience in software engineering, forward deployed engineering, solutions engineering, or a comparable hands-on technical role.
  • Bring strong programming experience with JavaScript or TypeScript.
  • Have experience developing backend applications, APIs, or services using Node.js or comparable technologies.
  • Have hands-on experience integrating large language models or AI APIs into software applications.
  • Be familiar with practical LLM application development and prompt design.
  • Have experience building software integrations with third-party services and understand REST APIs, webhooks, and common integration patterns.
  • Have experience developing and maintaining production software.
  • Have experience with SQL databases and relational data, structured data handling, and application-level validation.
  • Understand asynchronous programming, client-server communication, authentication, authorization, and secure API integrations.
  • Be familiar with cloud infrastructure, modern deployment practices, automated testing, and software quality practices.
  • Have experience with Git and collaborative software development workflows.
  • Be able to translate technical and business requirements into working software and troubleshoot application and integration issues.

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.
  • Build integrations connecting AI services with platform APIs, databases, and external tools.
  • Develop AI-assisted workflows, structured AI responses, function calling, and tool integrations.
  • Implement validation, error handling, fallback behavior, and testing for AI-powered features.
  • Monitor AI application performance, reliability, and response times, and troubleshoot issues involving AI services, APIs, and connected systems.
  • Collaborate with product, engineering, operational teams, and stakeholders to translate requirements into technical implementations.
  • Build internal tools and reusable components that improve operational efficiency and maintainability.
  • Own assigned AI implementation projects from development through deployment and maintenance.
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