AI Engineer at Epistemix - ScoutJobs - The AI-curated global job board
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Posted 4 hours ago

AI Engineer

EpistemixAI Engineer

Perks & benefits

VisaHealth InsurancePaid LeaveRelocation AllowanceEducation AllowanceFamily Medical Insurance

Requirements

3+ years AI/ML production experience, Proficiency in Python, Experience with LLMs and NLP, API design and optimization, Pydantic and SQLAlchemy expertise

Skills

PythonLLMFastAPI

About the role

About the Company

Epistemix builds simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. We provide organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale across healthcare, consumer industries, insurance, and government.

Responsibilities

  • Craft clean, testable, and maintainable code to enable AI-generated agent-based models
  • Own software from requirements development through deployment and maintenance
  • Design, build, test, and deploy a scalable system architecture for AI-generated models
  • Collaborate with internal teams to ensure engineering solutions align with company strategy

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
  • 3+ years of experience developing AI/ML applications in production environments
  • Proven track record working with LLMs, NLP models, or AI-driven systems
  • Experience designing and optimizing high-performance, scalable APIs
  • Advanced proficiency in Python
  • Strong experience with Pydantic, SQLAlchemy, and FastAPI
  • Expertise in LLM evaluation and prompt optimization
  • Legal authorization to work in the United States without sponsorship

Preferred Qualifications

  • Experience with vector databases such as Pinecone, Weaviate, or FAISS
  • Familiarity with Docker and Kubernetes
  • Knowledge of cloud platforms (AWS, GCP, or Azure)
  • Understanding of retrieval-augmented generation (RAG) techniques
  • Background in MLOps practices

Benefits

  • Equity and stock option program
  • Flexible time off
  • Health, welfare, and 401(k) programs for U.S. employees
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AI Engineer

Epistemix · United States

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