AI Engineer, Merchant Copilots

Job not on LinkedIn

🔥 17 minutes 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.
• 102 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

• Design, build, and maintain AI-powered merchant copilots across Bask Health's platform • Develop conversational assistants for platform features and workflows • Integrate large language models into merchant-facing applications and backend services • Build AI capabilities for account settings, storefront configuration, and operational information • Develop natural language interfaces for approved business and platform data • Implement tool-calling systems for authorized platform functionality • Connect copilots to internal APIs, services, and structured data • Build retrieval-augmented generation pipelines for documentation, help content, and platform knowledge • Develop AI-assisted workflows for storefront setup, product configuration, and merchant tasks • Implement contextual assistance based on current application state • Build AI-generated summaries of approved operational and business information • Develop structured output handling for AI-assisted workflows • Implement validation and confirmation steps before consequential platform actions • Ensure permissions, tenant isolation, and data access restrictions are respected • Design safeguards against unauthorized tool use, prompt injection, and unreliable outputs • Collaborate with frontend engineers on conversational and embedded AI interfaces • Work with product managers to identify repetitive merchant tasks for AI assistance • Develop reusable components and backend services for merchant-facing AI applications • Implement automated testing for model responses, tool execution, and integrations • Evaluate AI outputs for accuracy, relevance, completeness, and usefulness • Investigate incorrect responses, failed tool calls, and unexpected assistant behavior • Improve prompts, retrieval logic, and model configurations based on evaluation results • Implement monitoring, logging, and tracing for AI-powered features • Optimize model usage, latency, reliability, and operational costs • Handle API failures, timeouts, retries, and fallback behavior • Participate in code reviews, architecture discussions, and engineering planning • Collaborate with senior engineers to establish reliable patterns for AI-assisted actions • Own merchant copilot features from implementation through deployment and ongoing improvement

🎯 Requirements

• 3+ years of professional software engineering experience, preferably including applied AI or AI-powered application development • Experience building and deploying production software applications • Strong programming skills in TypeScript, JavaScript, Python, or comparable languages • Hands-on experience integrating large language models into software applications • Familiarity with modern model APIs and generative AI development patterns • Understanding of prompt engineering and structured model outputs • Experience building backend services and application APIs • Familiarity with tool calling, function calling, or AI-assisted application actions • Experience integrating third-party services and internal APIs • Understanding of authentication, authorization, and secure application design • Familiarity with relational databases and structured application data • Experience building reliable asynchronous workflows and service integrations • Understanding of multi-tenant application architecture and data isolation • Ability to translate business workflows into software functionality • Experience writing maintainable, well-tested production code • Familiarity with automated testing, debugging, and code review practices • Understanding of the limitations and failure modes of large language models • Ability to evaluate AI outputs and identify quality or reliability issues • Familiarity with cloud-based application deployment • Experience with logging, monitoring, and production troubleshooting • Understanding of API error handling, retries, and fallback strategies • Experience working with Git and collaborative software development workflows • Ability to collaborate with product managers, designers, and other engineers • Strong problem-solving skills and attention to detail • Ability to independently own assigned engineering projects from development through deployment • Nice to Have: Experience building AI copilots, conversational assistants, or agent-powered applications • Nice to Have: Familiarity with OpenAI, Anthropic, or comparable model APIs • Nice to Have: Experience with AI agent frameworks and orchestration libraries • Nice to Have: Experience building applications that use LLM tool calling or function calling • Nice to Have: Familiarity with retrieval-augmented generation architectures • Nice to Have: Experience with embeddings, semantic search, and vector databases • Nice to Have: Experience developing natural language interfaces for business software • Nice to Have: Familiarity with AI-powered workflow automation and multi-step task execution • Nice to Have: Experience building merchant-facing SaaS products or e-commerce platforms • Nice to Have: Understanding of storefront management, product catalogs, subscriptions, or commerce operations • Nice to Have: Experience with multi-tenant SaaS application architecture • Nice to Have: Familiarity with TypeScript and Node.js backend development • Nice to Have: Experience with React or Next.js applications • Nice to Have: Familiarity with tRPC, Prisma, Drizzle, or comparable development tools • Nice to Have: Experience working with AWS or serverless application infrastructure • Nice to Have: Familiarity with AI evaluation frameworks and automated model testing • Nice to Have: Experience implementing human confirmation and approval workflows for AI actions • Nice to Have: Understanding of prompt injection risks and secure AI tool execution • Nice to Have: Experience building AI-powered analytics or business information retrieval features • Nice to Have: Experience using AI-assisted development tools such as Cursor or Claude Code

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