Senior Forward Deployed Engineer, AI & Automation

Bask Health

. Design, develop, and deploy AI-powered applications and workflow automation solutions across Bask Health.

Posted 11/12/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-powered applications and workflow automation solutions, with strong capabilities in backend development, API integration, and system automation. Proficient in translating complex business requirements into scalable technical solutions while ensuring reliability and maintainability.

Highest-signal resume keywords

AI-Powered Application DevelopmentBackend Development Using Node.jsIntegration Of Large Language ModelsREST API Design And ImplementationSQL Database Management

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Hard Skills

JavaScriptTypeScriptNode.jsAPI DevelopmentAutomation ToolsError HandlingDebuggingTesting StrategiesWorkflow AutomationProduction Software Maintenance

Soft Skills

Strong Problem-Solving SkillsEffective CommunicationProject ManagementCollaboration With StakeholdersMentoring Engineers

Tools & Technologies

OpenAIAWS LambdaEvent-Driven ArchitecturesN8nZapierMakeLangChainLangGraphCursorClaude Code

Industry Keywords

AI Solutions EngineeringAutomation EngineeringHealthcare Data PrivacyE-Commerce PlatformsTelehealth Systems

Tech Stack

Tools & technologies

AWSCloudJavaScriptNext.jsNode.jsReactSQLTypeScript

About the role

Key responsibilities & impact

Design, develop, and deploy AI-powered applications and workflow automation solutions across Bask Health.
Work directly with product, engineering, and operational stakeholders to understand business processes and identify automation opportunities.
Translate complex operational requirements into scalable technical solutions.
Build production-ready integrations with large language models and external AI services.
Develop backend services, APIs, and automation tools using TypeScript, Node.js, or comparable technologies.
Integrate AI capabilities into existing platform features and internal operational systems.
Build automated workflows connecting multiple applications, APIs, and data sources.
Develop AI-assisted tools for repetitive or complex tasks.
Implement structured outputs, tool calling, and function execution in AI-powered applications.
Design workflows combining deterministic business logic with AI-driven capabilities.
Build third-party integrations using REST APIs, webhooks, and event-driven architectures.
Develop systems for processing, transforming, and routing information between connected services.
Evaluate automation opportunities for merchant onboarding, operational processes, and administrative workflows.
Build reusable components and engineering patterns for AI and automation initiatives.
Implement validation, safeguards, and human-review steps for sensitive or high-impact workflows.
Develop evaluation and testing strategies for AI-powered functionality.
Monitor AI application performance, reliability, latency, and operational costs.
Investigate and resolve issues involving AI outputs, integrations, and automated processes.
Implement logging, error handling, retry mechanisms, and monitoring for production workflows.
Collaborate with engineering teams to integrate AI solutions into existing applications and services.
Work with SQL databases and application data to support automation and AI-powered features.
Evaluate third-party AI services, automation platforms, and developer tools.
Document technical architecture, implementation decisions, and operational requirements.
Identify opportunities to convert custom automation solutions into reusable platform capabilities.
Participate in code reviews and contribute to engineering best practices.
Mentor other engineers on reliable AI integration and automation development.
Own technical projects from discovery through deployment, maintenance, and continuous improvement.

Requirements

What you’ll need

5+ 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, and services using Node.js or comparable technologies.
Hands-on experience integrating large language models or AI services into software applications.
Experience building automated workflows, system integrations, or operational tooling.
Strong understanding of REST APIs, webhooks, and third-party integration patterns.
Experience developing and maintaining production software.
Ability to translate business requirements into technical specifications and working solutions.
Experience integrating multiple systems, services, or data sources.
Familiarity with prompt design, structured outputs, and practical LLM application development.
Understanding of error handling, validation, and reliability considerations for AI-powered workflows.
Experience working with SQL databases and relational data.
Strong debugging and troubleshooting skills across application and integration layers.
Experience designing maintainable, scalable backend services.
Familiarity with cloud infrastructure and modern application deployment practices.
Understanding of application security, authentication, authorization, and secure data handling.
Ability to evaluate technical approaches and make sound architectural decisions.
Experience writing tests and maintaining software quality.
Ability to investigate and resolve complex production issues.
Experience collaborating with product managers, engineers, and nontechnical stakeholders.
Strong written and verbal communication skills.
Ability to manage technical projects independently from discovery through deployment.
Strong problem-solving skills and comfort working with ambiguous requirements.
Ability to balance rapid implementation with long-term maintainability.
Comfort working in a fast-moving, remote engineering environment.
Nice to have: Previous experience as a Forward Deployed Engineer, AI Solutions Engineer, or Automation Engineer.
Nice to have: Experience building AI agents or multi-step LLM workflows.
Nice to have: Familiarity with OpenAI, Anthropic, or comparable AI model APIs.
Nice to have: Experience with function calling, tool use, and structured LLM responses.
Nice to have: Familiarity with retrieval-augmented generation (RAG) and vector databases.
Nice to have: Experience with AI orchestration frameworks such as LangChain or LangGraph.
Nice to have: Experience developing AI evaluation frameworks or automated quality checks.
Nice to have: Familiarity with prompt versioning, model selection, and AI cost optimization.
Nice to have: Experience implementing human-in-the-loop approval workflows.
Nice to have: Experience with event-driven architectures and asynchronous processing.
Nice to have: Familiarity with AWS Lambda, SQS, EventBridge, or comparable cloud services.
Nice to have: Experience with React, Next.js, or full-stack TypeScript applications.
Nice to have: Familiarity with tRPC, Prisma, or Drizzle ORM.
Nice to have: Experience with workflow automation tools such as n8n, Zapier, or Make.
Nice to have: Experience developing internal tools or operational automation platforms.
Nice to have: Familiarity with multi-tenant SaaS applications.
Nice to have: Experience working with merchant-facing software or e-commerce platforms.
Nice to have: Experience integrating healthcare, telehealth, or pharmacy-related systems.
Nice to have: Understanding of healthcare data privacy and security considerations.
Nice to have: Experience using AI-assisted development tools such as Cursor or Claude Code.