Software Engineer, Platform

The role

You will build and scale core infrastructure for an AI platform for life sciences companies. You will design systems to enable enterprise-scale AI-powered workflows.

What you will do

• Build and maintain core platform infrastructure including APIs, data pipelines, RAG and agent orchestrator.
• Design scalable architectures for enterprise-grade AI workflows and agent orchestration.
• Develop tooling and frameworks for rapid development and deployment of AI solutions.
• Implement monitoring, logging, and observability systems.
• Collaborate with the Agent Engineering team to optimize for use cases.
• Own platform security, performance, and scalability.

Required qualifications

• 8+ years of post-college experience in software engineering, platform engineering, or related field.
• Proficiency in Python, or similar programming languages.
• Experience building and scaling distributed systems, APIs, and cloud infrastructure.
• Hands-on experience with containerization, orchestration, and CI/CD pipelines.
• Understanding of database design, and performance optimization.
• Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code.

Nice to have

• Prior experience with ML/AI infrastructure, LLMOps, or data engineering

About the company

Bluenote provides an AI platform for life sciences companies.