AI Solution Engineer

Responsibilities

• Prototype, test, and deliver internal AI applications to improve efficiency across GTM teams like Marketing, Sales, and BizOps
• Build internal applications using LLMs and AI APIs such as OpenAI and Anthropic
• Integrate AI into GTM tools including HubSpot, Salesforce, LinkedIn, and Google Sheets
• Rapidly test new AI models and APIs to validate feasibility and create MVPs
• Work closely with cross-functional teams to capture pain points and translate them into AI-driven solutions
• Maintain and optimize deployed tools while ensuring data privacy and reliability

Requirements

• Up to 5 years of experience building end-to-end applications
• Strong understanding of AI/ML fundamentals including NLP, LLMs, embeddings, and prompt engineering
• Proficiency in Python and experience working with REST/GraphQL APIs
• Experience with prototyping frameworks such as Flask, FastAPI, or Streamlit
• Familiarity with GTM systems like Salesforce or HubSpot
• Ability to communicate technical solutions clearly to non-technical stakeholders

Benefits

• Opportunity to work on cutting-edge AI applications in a high-growth SaaS company
• Direct impact on GTM innovation and productivity across the organization
• Exposure to real-world AI use cases that scale with thousands of customers
• Ownership of end-to-end AI solutions from initial idea to deployment

About the Company

Hevo Data is changing the way companies leverage data to drive user experience, growth, and business processes. With a technology platform processing more than 100 billion records a month, Hevo is on a mission to help organizations turn data into a competitive advantage.