AI Engineer

One of our key clients is a healthcare technology company focused on making healthcare more personalized, proactive, and accessible through AI. Its platform brings together medical records, lab reports, wearable data, and other health information to deliver personalized health insights to consumers. It also helps clinics intelligently engage with patients through communication, scheduling, reports, and health insights. The platform aims to connect patients, healthcare providers, and health data in one seamless ecosystem.

Must have

Prior experience with Product based company

• Product company experience:

  You have a proven track record working directly for a product company rather than an agency or services firm, bringing a strong product mindset and deep feature ownership.

  Expertise in building agents:

  Strong hands-on experience designing, prompting, and managing autonomous or semi-autonomous AI agents in production environments.

  Mastery of AI evaluation frameworks:

  You are highly experienced in setting up and running rigorous LLM evals (e.g., using golden datasets, LLM-as-a-judge) to balance cost, efficacy, tone, and quality.

  Health data proficiency:

  Prior experience safely navigating, processing, and leveraging sensitive health data in software products.

  SaaS architecture familiarity:

  Deep understanding of how to iterate and manage features in a multi-tenant SaaS ecosystem.

  Global team collaboration:

  Experience working effectively with distributed, international teams, maintaining strong communication and alignment across multiple time zones.

  Strong product instinct:

  You think beyond whether a feature technically works and care about whether it is intuitive, fast and useful to the person using it.

  High ownership and independence:

  You are comfortable working in a small team and remotely, making good technical decisions and taking responsibility for getting things shipped.

  Missionary mindset:

  A mindset of full ownership of solutions. Own the metrics around delivering innovation and customer satisfaction

  Our Technology

  AI:

  LLM-powered and agentic workflows (OpenAI, Anthropic, LangChain, custom evaluationpipelines)

  Backend:

  Node.js, Python

  Data:

  PostgreSQL, Vector Databases

  Cloud:

  AWS / GCP

  Mobile and web frontend:

  React Native, TypeScript

Good to have

• Experience with consumer health, fitness or wellness products
  Experience building conversational consumer experiences Experience working in an early-stage startup

Roles & Responsibilities

Build and evolve AI agents: