Forward Deployed Engineer, AI Solutions

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.

Apply Now

Find Similar Remote Jobs

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 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 combining 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. • Help 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 application security and sensitive data handling standards. • 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.

🎯 Requirements

• 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 Have: Previous experience as a Forward Deployed Engineer, AI Engineer, or AI Solutions Engineer. • Nice to Have: Experience integrating OpenAI, Anthropic, or comparable model APIs. • Nice to Have: Familiarity with AI tool calling, function execution, and structured outputs. • Nice to Have: Experience building multi-step AI workflows or agent-based applications. • Nice to Have: Familiarity with retrieval-augmented generation (RAG). • Nice to Have: Experience with vector databases or semantic search. • Nice to Have: Familiarity with LangChain, LangGraph, or comparable AI orchestration frameworks. • Nice to Have: Experience with AI evaluation and testing techniques. • Nice to Have: Familiarity with prompt versioning and AI response monitoring. • Nice to Have: Experience developing human-in-the-loop AI workflows. • Nice to Have: Experience with workflow automation tools such as n8n, Zapier, or Make. • Nice to Have: Familiarity with AWS Lambda, SQS, EventBridge, or comparable cloud technologies. • 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 automation systems. • Nice to Have: Experience with multi-tenant SaaS applications. • Nice to Have: Familiarity with e-commerce, merchant operations, or customer-facing SaaS platforms. • Nice to Have: Experience integrating healthcare or telehealth 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.

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume