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AI Engineer – Hubspot, Integrations
WRS HealthAI Engineer designing and integrating AI-powered solutions for healthcare SaaS company. Engaging with various teams to enhance medical practice solutions and workflows.
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Design, develop, and deploy AI-powered applications, workflows, and automation solutions using LLMs and related AI technologies.
- Build and maintain integrations between HubSpot, CRM platforms, EHR systems, business applications, and third-party tools using APIs and middleware solutions.
- Develop, test, and optimize prompts, workflows, and AI agents to improve response accuracy, efficiency, and user experience.
- Configure and optimize HubSpot Marketing, Finance, Sales, Service, and CMS hubs, including workflows, reporting, data management, and automation.
- Collaborate with marketing, finance, sales, customer service, and product teams to identify automation opportunities and translate requirements into scalable technical solutions.
- Create dashboards, reports, and data models to monitor performance, measure KPIs, and generate actionable insights.
- Conduct end-to-end testing, troubleshooting, and performance monitoring of AI and integration solutions.
- Maintain data quality, governance, security, and documentation across integrated systems.
- Evaluate emerging AI technologies, integration tools, and automation best practices, recommending improvements where appropriate.
- Provide technical guidance and training to internal teams on AI, automation, and HubSpot capabilities.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
- 5+ years of experience in software development, systems integration, marketing technology, automation, or AI-related roles.
- Strong experience with HubSpot, including Marketing Hub, Sales Hub, Service Hub, and workflow automation.
- Proven experience integrating business applications through APIs, web services, and integration platforms.
- Hands-on experience with Large Language Models (OpenAI, Claude, Llama, or similar), prompt engineering, and AI application development.
- Strong programming skills in Python and experience working with AI, NLP, or machine learning frameworks.
- Experience with LangChain, LlamaIndex, Flowise, Agent frameworks, or similar AI orchestration tools.
- Familiarity with cloud platforms, MLOps/LLMOps practices, and deployment of AI solutions in production environments.
- Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
- Excellent communication, project management, and stakeholder collaboration skills.
- HubSpot certifications and experience supporting SaaS, healthcare, or highly regulated environments are highly preferred.
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI application developmentLarge Language Modelsprompt engineeringPythonNLPmachine learningAPI integrationworkflow automationdata modelingperformance monitoring
Soft Skills
analytical skillsproblem-solving skillscommunication skillsproject managementstakeholder collaboration
Certifications
HubSpot certifications