AI Engineer

🕒 February 26

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 64%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Epistemix

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $7M Series A - Epistemix on 2024-06

Consulting • Healthcare • Marketing

Epistemix is a SaaS decision-making platform that uses large synthetic population and agent-based simulation models, AI, and inference to help organizations test scenarios, forecast trends, and optimize interventions in low-data and uncertain environments. Customers overlay their data on representative 1:1 synthetic populations to generate consumer insights, forecast adoption and tipping points, and run scenario planning for marketing, public health, pharmaceuticals, and policy decisions to reduce risk and improve outcomes.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.