- Company Name
- Hinge Health
- Job Title
- Senior Software Engineer - AI Platform
- Job Description
-
**Job Title**
Senior Software Engineer – AI Platform
**Role Summary**
Design, develop, and maintain the backend infrastructure that supports AI/ML models and agents. Collaborate with data scientists, product managers, and cross‑functional teams to build scalable and reliable services, APIs, and deployment pipelines for a production‑grade AI platform.
**Expectations**
- Deliver high‑quality, production‑ready code that meets performance, reliability, and security standards.
- Own end‑to‑end feature ownership from design through deployment and monitoring.
- Drive continuous improvement of platform architecture, automation, and observability.
**Key Responsibilities**
- Build and maintain RESTful APIs and microservices for AI model & agent deployment, data ingestion, and processing.
- Integrate machine‑learning models (LLMs, RAG, agentic AI) into the platform, ensuring smooth data flow and execution.
- Design, implement, and refine CI/CD pipelines (trunk‑based), infrastructure as code (Terraform/CloudFormation), and containerized deployments (Docker, Kubernetes).
- Monitor, troubleshoot, and resolve performance, reliability, and integration issues in production.
- Collaborate with Front‑End engineers on GraphQL/React interfaces that expose AI functionalities.
- Contribute to architectural discussions, evaluate new technologies, and propose enhancements to the AI ecosystem.
- Enforce security, compliance, and data governance standards (HIPAA, HITRUST, SOC 2, CCPA).
**Required Skills**
- 5+ years of professional software engineering experience.
- 3+ years of backend development in Python, TypeScript, or Java.
- Proven expertise in building RESTful APIs, microservices, and scalable cloud back‑ends.
- Cloud platform experience (AWS preferred; GCP/Azure optional).
- Proficient with Git, Agile/Scrum, Docker, and CI/CD automation tools.
- Strong understanding of relational (PostgreSQL) and key‑value (Redis) databases.
- Ability to write high‑performance, maintainable code and conduct peer reviews.
- Experience with monitoring/observability tools (Datadog, Sentry, etc.).
- Familiarity with AI/ML workflows, model serving, and generative AI concepts.
- Knowledge of front‑end stacks such as React/TypeScript and GraphQL is a plus.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
- Advanced degree (Masters or PhD) in AI/ML or data science preferred but not mandatory.
- Certifications in cloud technologies (AWS Certified Solutions Architect, etc.) are a plus.
San francisco, United states
On site
Senior
26-12-2025