AI Engineer, Merchant Copilots

Bask Health

. Design, build, and maintain AI-powered merchant copilots across Bask Health's platform .

Posted 11/12/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-powered application development, including building and integrating large language models, developing conversational assistants, and implementing secure application designs. Proficient in programming languages such as TypeScript, JavaScript, and Python, with a strong focus on backend services and API integrations.

Highest-signal resume keywords

AI-Powered Application DevelopmentLarge Language Model IntegrationTypeScript ProgrammingBackend Service DevelopmentAutomated Testing

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptJavaScriptPythonLarge Language ModelsAPI IntegrationBackend ServicesAutomated TestingPrompt EngineeringAsynchronous WorkflowsRelational Databases

Soft Skills

Problem-SolvingAttention to DetailCollaboration

Tools & Technologies

GitCloud-Based DeploymentMonitoring ToolsLogging ToolsAI Evaluation Frameworks

Industry Keywords

Conversational AssistantsMerchant-Facing ApplicationsMulti-Tenant ArchitectureE-Commerce PlatformsAI Workflow Automation

Tech Stack

Tools & technologies

AWSCloudJavaScriptNext.jsNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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