The Role

As our Senior Backend Engineer, you’ll design and build the backend infrastructure that supports high-throughput, reliable, and secure AI agent workflows. You’ll work cross-functionally with ML engineers and data scientists to operationalize models at scale.

Key Responsibilities

• Architect and implement scalable APIs, microservices, and event-driven systems to power ML pipelines and agent orchestration
• Design efficient data modeling, ETL, and persistent storage suited for high-volume, real-time agent data
• Optimize backend performance and ensure system stability under heavy concurrent load
• Collaborate closely with founders and ML teams to deliver end-to-end agent features
• Establish CI/CD pipelines, monitoring frameworks, and enforce backend security best practices
• Mentor junior engineers and contribute to team culture and best practices

Requirements

• 5+ years designing, implementing, and maintaining backend systems in Python
• Experience building distributed, scalable services with microservices or serverless architectures
• Strong grasp of relational and NoSQL databases, message queues (e.g., Kafka), and ETL patterns
• Proven track record in API design (REST/gRPC), authentication, and reliable asynchronous processing
• Familiarity with containerization (Docker, Kubernetes) and observability tools (Prometheus, Grafana)

Nice to Haves

• Prior experience launching AI products or backend systems for ML/agent-driven applications
• Knowledge of LLM APIs, prompt pipelines, and agent orchestration
• Familiarity with cloud-native tools (AWS Lambda, S3, DynamoDB, GCP/Azure equivalents)
• Experience in startup or early-stage environments

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential