---
title: 'AI Engineer at Epistemix'
canonical: 'https://feeny.ai/job/ai-engineer-epistemix-united-states-dpxypqt55x7z'
type: 'job'
last_seen: '2026-09-12'
---

# AI Engineer at Epistemix

- **Company:** Epistemix
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-12-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/epistemix/ba01bc54-7599-4f69-bda8-af69e62de222

## Job description

The AI Engineer plays a critical role in making modeling and simulation accessible to non-data scientists. You will be designing, developing, and deploying AI-driven applications to make our software more accessible which will have a direct impact on the number of organizations we are able to serve. This position plays a critical role in our product roadmap and will directly contribute to the company's success and growth. Ideal candidates exhibit a high willingness to experiment and empathy for users.

## About Epistemix

The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was. We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible. Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.

## Responsibilities

- Craft clean, testable, and maintainable code to enable AI-generated agent-based models.
- Own the software from requirements development through deployment and maintenance that enable decision makers to generate agent-based models that address critical business questions and data scientists to build agent-based models more quickly that answer the questions of decision makers.
- Design, build, test, and deploy a scalable system architecture so that AI-generated models can be validated by data scientists and deliver results back to decision makers quickly.
- Own the engineering solution and collaborate with internal teams to ensure alignment with company strategy.

## Qualifications

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience).
- 3+ years of experience developing AI/ML applications in production environments.
- Proven track record of working with LLMs, NLP models, or AI-driven systems.
- Experience designing and optimizing high-performance, scalable APIs.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Required Skills

- Python – Advanced proficiency in writing clean, efficient, and scalable code.
- Pydantic – Strong experience in data validation, serialization, and structured model definition.
- LLM Evaluation – Ability to assess model performance, optimize outputs, and fine-tune AI behavior.
- Prompt Optimization – Expertise in crafting, refining, and iterating prompts for optimal AI performance.
- SQLAlchemy – Hands-on experience with database modeling, ORM techniques, and performance tuning.
- FastAPI – Proven ability to develop and maintain APIs with FastAPI for AI-driven applications.

## Nice to Have Experience

- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for efficient AI retrieval.
- Familiarity with Docker & Kubernetes for containerized AI application deployment.
- Knowledge of cloud platforms (AWS, GCP, or Azure) for scaling AI infrastructure.
- Understanding of retrieval-augmented generation (RAG) techniques.
- Background in MLOps practices for automating AI model deployment and monitoring.

Why Join Epistemix? By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

- Equity & Incentives – Participation in our stock option program.
- Flexible Time Off – Autonomy to manage your schedule and work-life balance.
- Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).
- Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

## About Epistemix

## Company Overview
- **One-liner**: Epistemix provides an agent-based simulation platform that enables organizations to forecast population behavior, manage risk, and make data-driven decisions in low-information environments.
- **Entity Type**: Private (Post-Series A; raised $19.5M in total funding across 7 rounds)
- **Headquarters**: Pittsburgh, Pennsylvania, United States (with an office in the United Kingdom)
- **Founded**: 2018
- **Founders**: John Cordier (CEO)

## Core Business
- **Primary industry/industries**: Simulation Software, Population Modeling, Decision Intelligence, Public Health
- **Target customers**: Government agencies (public health), Global Corporations (CPG, healthcare, finance), and Research Organizations (B2B, Enterprise)
- **Mission or purpose statement**: Epistemix is building the tools to make sense of complex population dynamics to empower better decisions — replacing uncertainty with clarity and moving decision-making from guesswork to insight.

## Products & Services
- **[Populus]**: A population data platform that provides a statistically representative 1:1 synthetic population of a target market. Used for sizing Total Addressable Market (TAM), segmenting audiences, enriching existing data, and discovering patterns traditional analyses miss. (Data/API Platform)
- **[Polaris]**: A scenario planning platform that empowers organizations to test strategies, optimize decisions, and shorten decision cycles through simulation, AI, and inference. Users can ask "What If...?" to understand the impact of different scenarios (e.g., product launches, resource allocation, health benefit adoption). (SaaS Simulation Platform)
- **Custom Consulting / Modeling Services**: Epistemix partners with clients to build bespoke agent-based models for specific strategic challenges (e.g., disease spread, market saturation, political polarization). (Service)

## Market Standing
- **Total Funding**: $19.5M (across 7 rounds)
- **Latest Round (Seed/Series A mix)**:
    - Series A (2024-03-31): $5.0M from 3 investors
    - Venture Round (2022-02-11): $5.1M
    - Seed Round (2022-03-01): $5.0M from 4 investors
- **Notable Investors/Partners**: Not fully disclosed in public sources, but seed/Series A syndicate includes multiple unnamed institutional investors. Partners include leading public health agencies and global corporations.
- **Growth Signals**:
    - Headcount grew 15% YoY (16 employees as of mid-2025).
    - LinkedIn followers grew 30.2% over the past year.
    - Website traffic grew 281.6% year-over-year.
    - Actively hiring with 14 open positions (including AI Engineers, Data Scientists, and Backend Engineers).
    - Clients include major public health agencies and global CPG/healthcare firms.

## Competitive Advantages
- **Proprietary Synthetic Population Technology**: Epistemix builds statistically representative "digital twins" of entire populations (countries, cities, target demographics) without using real PII. This allows them to model behavior in environments where traditional data is sparse or unavailable.
- **Agent-Based Modeling (ABM) at Scale**: Unlike traditional statistical models, their ABM simulates the interactions of millions of individual "agents," capturing emergent behaviors (e.g., tipping points, market saturation, cultural movements) that aggregate models miss.
- **Academic-to-Commercial Bridge**: Born from academic research, the platform has been validated in high-stakes environments (e.g., pandemic response), providing a strong credibility moat.
- **High Switching Costs**: The platform integrates deeply into client planning workflows. Once an organization builds its decision-making process around Epistemix’s simulation outputs, the cost and risk of switching to a less sophisticated alternative are high.

## Strategic Focus
- **Product-Led Growth & Platformization**: Shifting from bespoke consulting to a self-service and scalable SaaS platform (Populus/Polaris).
- **Industry Expansion**: Moving beyond public health into CPG, financial services, and climate resilience.
- **AI Integration**: Leveraging AI and inference engines within the platform to accelerate scenario creation and improve prediction accuracy.
- **Talent Acquisition**: Bulking up engineering and data science teams (hiring for AI Engineers, Synthetic Population Engineers, and Senior Backend Engineers) to accelerate product development.

## Why Work Here
- **Mission-Driven**: Work on the "biggest challenges of our time" — pandemics, climate change, political polarization — by giving leaders the tools to make sense of complex dynamics.
- **Culture & Values**: Guided by values of **Empathy** (understanding users, constraints, motivations), **Clarity** (keeping things simple, being forthright), **Inspiration** ("checkers, not chess" — focus on long-term strategy), and **Grit** (sustained effort to win).
- **Technical Depth**: Strong emphasis on agent-based modeling, synthetic populations, and AI. Tech stack includes Python, TypeScript, Django, React, Postgres, Kubernetes, AWS, Terraform, and modern CI/CD tooling.
- **Growth Opportunity**: As a 16-person company growing rapidly (15% YoY headcount growth) with $19.5M in funding, new hires have significant ownership and impact over product direction.
- **Work Modes**: Primarily in-office presence (HQ in Pittsburgh, PA) with some flexible arrangements. The team culture emphasizes direct collaboration on complex modeling challenges.

## Sources
1. [epistemix.com](https://epistemix.com/)
2. [epistemix.com (About)](https://epistemix.com/about)
3. [epistemix.com (Careers)](https://epistemix.com/careers)
4. [LinkedIn Company Page](https://www.linkedin.com/company/epistemix)
5. [Ashby Job Board](https://jobs.ashbyhq.com/epistemix)
6. [Wellfound (AngelList) - Epistemix](https://wellfound.com/company/epistemix)

## Other roles at Epistemix

- [Manager, Strategic Operations](https://feeny.ai/job/manager-strategic-operations-epistemix-united-states-mdmr3gxg5z73) — United States
- [Infrastructure Architect](https://feeny.ai/job/infrastructure-architect-epistemix-united-states-rrkq2tbah3s0) — United States
- [Data Scientist](https://feeny.ai/job/data-scientist-epistemix-united-states-ghye54d22xmh) — United States
- [Synthetic Population Engineer](https://feeny.ai/job/synthetic-population-engineer-epistemix-united-states-gj0qtws52gg1) — United States
- [Senior Back End Software Engineer](https://feeny.ai/job/senior-back-end-software-engineer-epistemix-united-states-xf60zc9ynjeh) — United States
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