Why Evolo

No buyer should need a seller to understand what they’re buying. Yet for every complex

product, that’s still how it works: the real answers sit behind a sales call with someone paid to

close you. GPTs didn’t fix it; they only help buyers who already know what to ask, and most

don’t. Evolo is buyer-side AI: companies put their best guided journey directly in the buyer’s

hands, 24/7, at the buyer’s pace, zero pressure to commit. The company shapes the narrative. The

buyer commands the journey. And every journey produces the data asset no CRM has ever held:

first-party, declared intent, compounding with every interaction.

This isn’t a thesis anymore. We’ve crossed the hardest line in enterprise AI, from pilot to

production. Four major financial institutions run Evolo inside their sales workflows today, and

all four have expanded and extended their partnerships. Three more are onboarding. We’re

backed by Portage and Golden Ventures, and we expect the second half of this year to be our

steepest curve yet.

We are shaping a new category: AI for product & offer education to 2x conversion. And it is

forming right now, and so is the team that will own it. This is a founding-team seat: the people

we hire this year are shaping the growth foundation of Evolo, the product, the culture, the

standards everything after gets built on.

Your seat: you’ll build the control plane for autonomous AI in a regulated industry.

About the Role

As a Senior AI Engineer at Evolo, you will spearhead the development and architecture of

advanced agentic systems. Your role is crucial in shaping intelligent agents that are capable of

self-improvement, impacting both our products and the AI field at large.

With your experience, you will contribute significantly to innovative projects, collaborating

closely with cross-functional teams to drive Evolo’s AI strategies forward. Your expertise will

enhance our technology offerings, pushing the boundaries of what’s possible in AI.

Skills & Qualification

• Proficiency in programming languages such as Python and TensorFlow to develop robust

• AI solutions

• Strong understanding of machine learning algorithms to design intelligent systems

• Ability to build self-improving agents, enhancing system performance and adaptability

• Experience in architecting agentic systems for scalability and efficiency

• Expertise in AI model evaluation and optimization to ensure high-quality outcomes

• Familiarity with data structures and algorithms to solve complex computational problems

• Proven track record in AI research or applied AI projects, demonstrating innovative

• thinking

Responsibilities

• Proficiency in programming languages such as Python and/or TypeScript to develop robust

• AI solutions

• Experience in using machine learning libraries such as TensorFlow or PyTorch to design

• intelligent systems

• Ability to build self-improving agents, enhancing system performance and adaptability

• Experience in context engineering for agentic systems

• Experience in architecting agentic systems for scalability and efficiency

• Expertise in AI model evaluation and optimization to ensure high-quality outcomes

• Familiarity with data structures and algorithms to solve complex computational problems

• Proven track record in AI research or applied AI projects, demonstrating innovative

• thinking