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