Artificial Intelligence Engineer (Los Angeles)

We’re looking for passionate professionals who can bridge traditional machine learning and cutting-edge GenAI to solve real-world healthcare challenges.

What we’re looking for:

✔️ Strong foundation in ML concepts – supervised/unsupervised learning, uplift modeling, time-to-event, calibration, bias/variance, drift & monitoring

✔️ Hands-on experience with GenAI / LLMs and classical ML approaches

✔️ Expertise in:

• Document understanding (prior auth, EOBs)
• Summarization, classification, entity extraction
• Retrieval-Augmented Generation (RAG), prompt design & evaluation
• ✔️ Ability to design robust evaluation frameworks:
• Offline metrics (Precision/Recall, AUROC, MAE)
• Business KPIs & human-in-the-loop QA
• LLM evaluations (groundedness, hallucination, toxicity, PHI leakage)
• ✔️ Working knowledge of tools like Python, SQL, notebooks, ML lifecycle tools (MLflow or similar)