RESPONSIBILITIES
- Design and develop AI driven backend services and APIs that support production workflows
- Implement and integrate LLM based features, retrieval systems, and intelligent automation
- Build pipelines for data preparation, inference, and model serving
- Collaborate with Machine Learning Engineers to deploy and optimize models
- Work with Product and domain experts to translate clinic workflows into AI powered features
- Monitor performance, reliability, and safety of AI systems in production
- Maintain clear documentation for AI components, data flows, and integration patterns
QUALIFICATIONS
- 3 plus years of software engineering experience with exposure to applied AI
- Strong proficiency with Python or TypeScript and modern backend frameworks
- Experience integrating machine learning or LLM based systems into applications
- Familiarity with vector databases, embedding pipelines, or retrieval augmented generation
- Understanding of cloud environments, containerization, and deployment workflows
- Bonus experience with model serving, inference optimization, or distributed systems
- Bonus familiarity with prompt engineering, evaluation frameworks, or safety tooling
WHO YOU ARE
- A systems minded engineer who enjoys building practical AI features end to end
- Curious, analytical, and comfortable working in problem spaces with ambiguity
Collaborative, communicative, and committed to building reliable, user centric AI solutions
Equal Opportunity Statement
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
