AI Engineer in London

Join to apply for the Full Stack AI Engineer role at Epistemix. The Full Stack AI Engineer plays a critical role in making modeling and simulation accessible to non‑data scientists. You will design, develop, and deploy AI‑driven applications to extend the reach of our software, directly impacting the number of organizations we serve. This position is pivotal to our product roadmap and contributes to the company’s success and growth. Ideal candidates exhibit a high willingness to experiment and empathy for users.

About Epistemix: Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high‑resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value.

Responsibilities:

• Craft clean, testable, and maintainable code to enable AI‑generated agent‑based models.
• Own the software from requirements development through deployment and maintenance to enable decision makers to generate agent‑based models, and help data scientists build models faster.
• Design, build, test, and deploy a scalable system architecture so 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 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 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.