Lead AI Engineer — Healthcare, Remote (US), Equity

Beni; United States; Remote; USD 200,000 - 290,000; Full time

Benefits offered by this job

Early-stage equity

Job summary

Beni is seeking a hands-on Engineering Lead to evolve a live primary care platform into a fully agentic system. The role focuses on architecting multi-modal patient communication, intelligent care coordination, and clinical system integrations.

The position is remote within the United States and includes early-stage equity, reporting to the VP of Product and Engineering. You will work closely with clinicians and product teams to accelerate shipping with AI-native workflows.

Qualifications

• Bachelor's degree in CS/SE or related field.
• 5+ years software engineering with 2+ years AI/ML production experience.
• Hands-on LLM orchestration including retrieval-augmented generation and tool use.
• Strong backend fundamentals in Python and/or TypeScript (APIs, async, data pipelines).

Responsibilities

• Architect and build agentic AI systems for orchestration, memory, tool use, and multi-step reasoning.
• Design and operate the multi-modal communication layer (voice AI, SMS).
• Lead EMR integration using FHIR and HL7 standards.
• Build evaluation frameworks with monitoring and graceful-failure handling for AI outputs.
• Develop scalable, privacy-preserving backend infrastructure.
• Manage code reviews, dependencies, and on-call rotation.
• Collaborate with product using AI-native workflows to accelerate shipping.

Skills

Python

TypeScript

LLM orchestration

APIs & async

Data pipelines

AWS/GCP/Azure

Security & RBAC

Education

Bachelor's degree in CS/SE or related field

Tools

AWS

GCP

Azure

Kubernetes

Docker

Terraform

Job description

Beni is seeking a hands-on Engineering Lead to evolve a live primary care platform into a fully agentic system. The role focuses on architecting multi-modal patient communication, intelligent care coordination, and clinical system integrations.

The position is remote within the United States and includes early-stage equity, reporting to the VP of Product and Engineering. You will work closely with clinicians and product teams to accelerate shipping with AI-native workflows.