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Quantori is hiring Platform Engineer

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We are seeking a Platform Engineer with deep expertise in cloud infrastructure and a strong passion for AI-powered automation. This role goes beyond building infrastructure β€” we’re looking for someone who creates usable tools and automation frameworks and actively leverages AI to accelerate their own work. You will play a pivotal role in a company-wide initiative to redefine access to AI. Your mission will be to develop and operate a platform that enables teams to experiment with and deploy foundational models, AI models, intelligent agents, and automated workflows at scale. The ideal candidate is already incorporating AI tools (e.g., ChatGPT, GitHub Copilot, Claude, agent builders, etc.) into their daily workflow and has a clear understanding of how these tools can boost efficiency and productivity

Responsibilities:
* Build internal tools, automation scripts, and developer-facing interfaces to enable AI-powered workflows
* Develop and maintain cloud-based infrastructure (AWS) to support hosting of foundational models and intelligent agents
* Implement Infrastructure-as-Code practices using Terraform/CDK
* Work closely with internal teams to embed AI capabilities into business processes via APIs, agents, or prompt workflows
* Contribute to reproducible, scalable, and observable environments for AI and automation use cases
* Promote and apply responsible automation practices across the engineering organization

What we expect:
* Proven software development experience (e.g., Python, TypeScript, or similar)
* Hands-on experience automating real-world processes or building internal tools
* Solid cloud infrastructure experience with AWS (EC2, IAM, S3, Lambda, CloudWatch, etc.)
* Experience with Terraform or CDK for provisioning infrastructure
* Familiarity with CI/CD pipelines and Git-based workflows
* Active use of AI tools for development, documentation, research, or automation
* Strong problem-solving mindset and ability to work autonomously across teams

Nice to have:
* Experience with Kubernetes (especially EKS) and Helm
* Exposure to foundational model hosting (e.g. HuggingFace, vLLM, Triton)
* Understanding of RAG pipelines, embeddings, and vector databases (e.g. Weaviate, Qdrant)
* Familiarity with AI automation libraries like LangChain, Haystack, or similar
* Observability stack: Prometheus, Grafana, OpenTelemetry

We offer:
* Competitive compensation
* Remote work
* Flexible working hours
* Work with a highly skilled and collaborative engineering team
* Opportunity to contribute to impactful, real-world healthcare solutions

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