Forward Deployed Engineer, AI – Automation

Job not on LinkedIn

🔥 2 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 60 days.
• 54 open roles for a team of 16.
• No salary listed.

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Bask Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Pre Seed Round on 2022-05

Healthcare • Consulting • Logistics

Bask Health is a robust platform providing a comprehensive suite of customizable telehealth solutions. It offers tools such as a questionnaire builder, patient portals, and pharmacy fulfillment services, all secured with strong encryption and HIPAA-compliance. Bask Health seamlessly integrates telehealth and e-commerce, enabling streamlined patient care from consultation to delivery. The platform supports entrepreneurs, doctors, and developers by offering scalable no-code solutions that enhance user experience and business growth. With its nationwide pharmacy network, Bask Health empowers businesses to efficiently manage prescriptions, patient data, and order fulfillment across the entire digital health landscape.

📋 Description

• Build and deploy AI-powered tools and automated workflows across Bask Health's platform. • Work with engineering, product, and operational teams to identify opportunities for automation. • Translate manual business processes into clear technical requirements and implementation plans. • Develop backend services, APIs, and automation functionality using TypeScript, Node.js, or comparable technologies. • Integrate large language models and external AI services into practical software workflows. • Connect internal applications and third-party platforms through APIs, webhooks, and event-driven processes. • Build automation that reduces repetitive merchant onboarding and platform configuration tasks. • Develop workflows for processing, validating, transforming, and routing information between systems. • Implement AI-assisted functionality for appropriate administrative and operational tasks. • Build integrations connecting application data, databases, external services, and AI capabilities. • Develop reusable automation components that can support multiple teams and workflows. • Implement scheduled, event-triggered, and asynchronous processing where appropriate. • Combine deterministic business rules with AI-powered functionality. • Develop structured outputs, tool calling, and validation for LLM-powered applications. • Build appropriate human-review and approval steps for sensitive automated processes. • Implement reliable error handling, retries, and fallback behavior for automated workflows. • Monitor automation performance, execution failures, latency, and operational reliability. • Investigate and troubleshoot issues involving APIs, AI services, data flows, and connected applications. • Work with SQL databases and application data to support automation functionality. • Collaborate with backend engineers to integrate automation into existing platform architecture. • Help evaluate third-party AI and automation tools for practical engineering use cases. • Write automated tests for critical workflows and integration behavior. • Maintain appropriate security controls and data-handling practices. • Document workflow logic, integration requirements, and technical implementation decisions. • Identify opportunities to turn one-off automations into reusable platform capabilities. • Participate in code reviews and contribute to engineering best practices. • Take ownership of assigned automation projects from development through deployment and maintenance.

🎯 Requirements

• 3+ years of professional experience in software engineering, forward deployed engineering, automation 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 building workflow automation, system integrations, or operational tooling. • Practical experience integrating large language models or AI APIs into software applications. • Strong understanding of REST APIs, webhooks, and third-party integration patterns. • Experience developing and maintaining production software. • Familiarity with asynchronous programming and event-driven workflows. • Experience working with SQL databases and relational data. • Ability to translate business processes into technical solutions. • Understanding of application logic, data validation, and structured data processing. • Experience integrating multiple systems, services, or data sources. • Familiarity with prompt design and practical LLM application development. • Experience implementing error handling, logging, and reliable application behavior. • Strong debugging and troubleshooting skills across connected systems. • 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 when AI is appropriate versus conventional software automation. • Experience collaborating with engineers, product managers, and operational stakeholders. • Strong communication skills and ability to explain technical solutions clearly. • Ability to investigate technical problems independently. • Strong attention to detail and ownership of assigned projects. • Comfort working in a fast-moving, remote engineering environment. • Nice to Have: Previous experience as a Forward Deployed Engineer, Automation Engineer, AI Engineer, or Solutions Engineer. • Nice to Have: Experience building AI agents or multi-step LLM workflows. • Nice to Have: Familiarity with OpenAI, Anthropic, or comparable model APIs. • Nice to Have: Experience with function calling, tool use, and structured LLM outputs. • Nice to Have: Familiarity with LangChain, LangGraph, or comparable AI orchestration frameworks. • Nice to Have: Experience with retrieval-augmented generation (RAG) or vector databases. • Nice to Have: Familiarity with workflow automation tools such as n8n, Zapier, or Make. • Nice to Have: Experience developing event-driven applications or background processing systems. • Nice to Have: Familiarity with AWS Lambda, SQS, EventBridge, or comparable cloud technologies. • Nice to Have: Experience building scheduled jobs, queues, or asynchronous task processing. • Nice to Have: Familiarity with AI evaluation, prompt testing, or output monitoring. • Nice to Have: Experience implementing human-in-the-loop approval workflows. • Nice to Have: Experience with React, Next.js, and full-stack TypeScript applications. • Nice to Have: Familiarity with tRPC, Prisma, or Drizzle ORM. • Nice to Have: Experience developing internal tools or operational dashboards. • Nice to Have: Familiarity with multi-tenant SaaS applications. • Nice to Have: Experience automating merchant onboarding, e-commerce, or subscription workflows. • 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.

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