Evidenso
Futuristic mountain horizon
Founding AI Engineer (Lead/Senior)EvidensoFounding teamWe've already hired for this role

Founding AI Engineer (Lead/Senior) | Evidenso

Help us turn messy, unstructured signals into digital twin societies customers can trust. You will lead the AI stack - knowledge graphs, RAG, evaluation, and explainability - while shaping the team and the product alongside the founders.

AI + Knowledge GraphsRemote (US-friendly)Full-time

About Evidenso

Evidenso is an AI-powered market intelligence platform that transforms how product teams make decisions. We enable teams to validate product, design, and messaging decisions without slow, expensive, or compliance-blocked user research by building transparent digital twin societies from real external and internal data. Instead of waiting 4-12 weeks and spending $5-10K per study, teams get evidence-backed answers in hours.

Our platform creates digital twins of target audiences using context neuroscience and real-world data from LinkedIn, reviews, conversations, and market research. In just a few months, we've achieved 80% accuracy compared to traditional market research while outperforming ChatGPT by 2x, delivering 10:1 ROI for our customers.

The role

We're looking for a founding AI engineer who is equal parts builder, researcher, and leader. You'll be instrumental in transforming messy, unstructured data into structured knowledge graphs that power our digital twin societies. This role requires someone who can turn AI black boxes into transparent, explainable systems that our customers trust to make critical business decisions.

As a founding team member, you'll work directly with the founders, shape our technical direction, and help build the team. This is an IC-plus-manager hybrid role where you'll write code and build systems while also hiring, mentoring, and setting technical standards.

What you'll do

  • Build and optimize knowledge graph pipelines that turn messy external + customer data into structured insight.
  • Design and ship LLM systems (RAG, evaluation harnesses, guardrails) that power transparent digital twin simulations.
  • Create explainable AI surfaces so customers see the reasoning, not a black box.
  • Own the AI/ML infrastructure roadmap, balancing speed, accuracy, and scale for a fast-moving product.
  • Translate customer problems into technical bets that deliver measurable value.
  • Hire, mentor, and set the technical bar for a growing engineering team.

What we're looking for

  • Product-minded builder obsessed with outcomes, not just elegant code.
  • Deep experience shipping production LLM systems with RAG, evals, and safety guardrails; you know when to fine-tune vs. prompt.
  • Knowledge graph chops: extract entities, relationships, and meaning from noisy, real-world data.
  • Bias toward transparency and explainability; you refuse opaque predictions.
  • Leadership as IC + manager: hiring, mentoring, code review, setting standards.
  • Comfort in ambiguity with a founder mindset and reliable follow-through.

Bonus points

  • Synthetic data or digital twin experience.
  • Background in market research, behavioral science, or user research.
  • 0-to-1 product building in B2B SaaS.
  • Published research or OSS contributions in AI/ML.
  • Data extraction or web-scraping pipelines at scale.
  • Experience crafting coding agents.

Why join Evidenso

  • Founding-seat impact with significant equity; shape culture, architecture, and product from day one.
  • Real AI innovation at the intersection of LLMs, knowledge graphs, and behavioral science - beyond simple API wrapping.
  • Immediate customer pull: 10:1 ROI today with digital twin societies that hit 80% accuracy vs. traditional research.
  • Seasoned founders (14+ years product, 13+ years data platforms) backed by advisors from $3B AI leaders and market research experts.
  • Massive $130B+ market to reinvent with faster, more affordable market intelligence.
  • Competitive salary + ownership aligned to your founding-level impact.

How to apply

Send your resume and a brief note with:

  • A specific example of an LLM system you built (RAG, evals, guardrails).
  • Your approach to making AI systems transparent and explainable.
  • What excites you about building digital twin societies for market research.
Prefer chat first? Message us on LinkedIn.