10 months ago
London, United Kingdom +2 moreMid Level
Responsibilities
- Write clean, testable, and maintainable code for AI-generated agent-based models.
- Own software development from requirements through deployment and maintenance.
- Design, build, test, and deploy scalable architecture for validating AI-generated models and returning results quickly.
- Develop AI-driven applications that help decision makers generate agent-based models and help data scientists build models faster.
- Own the engineering solution and collaborate with internal teams to align with company strategy.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent experience.
- At least 3 years of experience developing AI/ML applications in production environments.
- Proven experience working with LLMs, NLP models, or AI-driven systems.
- Experience designing and optimizing high-performance, scalable APIs.
- Advanced Python proficiency and strong experience with Pydantic, SQLAlchemy, and FastAPI.
- Ability to evaluate LLM performance, optimize outputs, and refine prompts.
- Experience with vector databases such as Pinecone, Weaviate, or FAISS is preferred.
- Familiarity with Docker and Kubernetes is preferred.
- Knowledge of AWS, GCP, or Azure is preferred.
- Understanding of retrieval-augmented generation and MLOps practices is preferred.
- Must be legally authorized to work in the United States without current or future employer sponsorship.
Benefits
- Fully remote position with team members in the United States and Europe.
- Stock option program and equity incentives.
- Flexible time off.
- Health, welfare, and 401(k) programs for eligible U.S. employees.
- Remote position open to applicants located in the United States; visa sponsorship or transfer is unavailable.
Tech Stack
Categories
About Epistemix
Epistemix helps organizations forecast outcomes and manage risks by simulating how people behave. Populus, Epistemix’s population data platform, enables clients to understand total addressable market (TAM), assess trends, and analyze population changes. Polaris, Epistemix’s scenario planning platform, empowers organizations to test strategies, optimize decisions, and shorten decision cycles. Health, CPG, and government clients use the platform to drive faster, smarter decisions for resource allocation, product launches, and health benefit adoption.