AI Solution Engineer

Job highlights

• About Hevo: . At Hevo,we are changing the way companies leverage data to drive user experience,growth,and business processes
• Experience with prototyping tools / frameworks (Flask,FastAPI,Streamlit,or similar)
• Upto 5 years of experience in building end-to-end applications

About Hevo:

At Hevo, we are changing the way companies leverage data to drive user experience, growth, and business processes. There has been a fundamental change in the amount of data companies are generating on a day-to-day basis. More and more users in an organization are now looking to use data to drive business decisions. Data is no longer a second-class citizen and companies are seeing data as a competitive advantage. We see this change and we are on a mission to change the way companies leverage their data.

With a technology platform processing more than 100 billion records a month and doubling itself every 6 months, Hevo is poised for exponential growth in the coming future. This position provides a unique opportunity to create a massive impact on all existing and future customers of Hevo through technology innovation.

If you are the one who is looking to take a leap of faith and work on the technology of the future, if you obsess over customer satisfaction and experience then we are looking for you.

Role Summary

The AI Solutions Engineer will prototype, test, and deliver internal AI applications that improve efficiency across GTM teams (Marketing, Sales, BizOps). The role combines applied AI/ML knowledge, software engineering skills, and a strong understanding of GTM workflows to deliver practical, business-impacting solutions.

Key Responsibilities

• AI Application Development
• Build internal applications using LLMs and AI APIs (e.g., OpenAI, Anthropic).
• Integrate AI into GTM tools like HubSpot, Salesforce, LinkedIn, Outreach, Google Sheets, etc.
• Develop scripts and automations for data enrichment, copy assistance, and reporting.
• Prototyping & Experimentation
• Rapidly test new AI models and APIs, validate feasibility, and create MVPs.
• Evaluate and document performance, accuracy, and usability for GTM use cases.
• Cross-functional Collaboration
• Work closely with Marketing, Sales, and BizOps teams to capture pain points and translate them into AI-driven solutions.
• Provide demos, documentation, and training to internal users.
• Operational Support
• Maintain and optimize deployed tools.
• Ensure compliance, data privacy, and reliability in AI-driven workflows.

What Success Looks Like

• You ve delivered 2 3 working AI prototypes that GTM teams actively use.
• You ve automated or optimized at least 2 GTM workflows , saving time and improving accuracy.
• You ve documented solutions in a way that makes them scalable and transferable.
• You ve demonstrated measurable impact on GTM productivity (hours saved, efficiency gains, improved decision-making).

What We re Looking For

• Knowledge & Skills:
• Strong understanding of AI/ML fundamentals (NLP, LLMs, embeddings, prompt engineering).
• Proficiency in Python and working with APIs (REST/GraphQL).
• Experience with prototyping tools/frameworks (Flask, FastAPI, Streamlit, or similar).
• Familiarity with GTM systems such as Salesforce, HubSpot, Marketo, or BI tools (Tableau, Looker).
• Strong problem-solving skills and ability to rapidly prototype creative solutions.
• Upto 5 years of experience in building end-to-end applications
• Abilities:
• Translate messy GTM data into usable inputs for AI models.
• Map AI outputs into real-world GTM workflows and processes.
• Communicate technical solutions clearly to non-technical stakeholders.
• Balance speed of experimentation with reliability and compliance.

Why Join Us

• Work on cutting-edge AI applications in a high-growth SaaS company.
• Be part of the GTM innovation function , directly impacting Marketing, Sales, and BizOps productivity.
• Gain exposure to real-world AI use cases that scale with thousands of customers.
• Collaborate with cross-functional teams and own end-to-end AI solutions from idea to deployment.