Senior Backend Platform Engineer | Salt AI · Teeming.ai
Salt AI
Salt AI provides a development platform for life sciences organizations to adopt and harness AI faster. Their platform focuses on reliable and reproducible AI workflows, engineered to accommodate…
Salt AI provides a development platform for life sciences organizations to adopt and harness AI faster. Their platform focuses on reliable and reproducible AI workflows, engineered to accommodate…
Sector: Contextual AI platform for life sciences and healthcare
Founders: Aber Whitcomb (CEO), Jim Benedetto (CTO)
Founded: 2023
Headquarters: Los Angeles, United States
Total disclosed funding: USD 13,000,000
Company Overview
Problem Domain
Accelerating and making reproducible AI-driven research and development in drug discovery and regulated healthcare settings.
Founded
2023
Industry
Technology, Information and Internet
Tech Stack
Cloudflare
Cloudflare CDN
Common Crawl
DNSSEC
Google Font API
IPv6
jsDelivr
reCAPTCHA
Funding Track Record
Seed- 2024-12-17
USD 3,000,000
Participation from Struck Capital and Irregular Expressions.
Seed- 2025-09-22
USD 10,000,000
Participation from Struck Capital, Marbruck Investments, and CoreWeave.
Investor Signal
“Morpheus Ventures is a repeat lead investor across reported seed financings; additional participation from Struck Capital, Irregular Expressions, Marbruck Investments, CoreWeave, Astraecho Capital, and others.”
Founders
What we do
Join the Team
Senior Backend Platform Engineer
RemoteUS
Remote • US
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About Salt AI
Salt AI is on a mission to revolutionize life sciences with reliable, collaborative and forward thinking AI solutions. Founded by leaders in high-performance computing and AI, we empower teams to achieve breakthroughs faster. Our platform is the backbone for cross-functional collaboration, rapid model interchange, and data integrity—fueling innovation in science and healthcare. The Salt AI team are skilled technologists, backed by strong VC partners with a mission to build exceptional user experiences within AI development.
Salt AI's platform prioritizes data integrity and reliability while providing a robust visual-first interface for cross-functional collaboration, allowing for rapid interchangeability of best of breed AI models.
The Role: What You'll Do
We're looking for a Senior Backend Platform Engineer with deep distributed systems experience to help build the core infrastructure of our AI platform for life sciences. You'll play a key role in designing high-performance systems that support AI model orchestration, real-time collaboration, and secure scientific workflows.
Responsibilities:
Design and build scalable backend microservices using Python for AI workflow orchestration
Implement distributed systems for real-time AI model orchestration using Dapr and event-driven architectures
Technical Requirements - Core Skills (Must Have):
5+ years of backend development with strong distributed systems experience
Expert-level Kubernetes experience (EKS, GKE, or self-managed clusters)
Preferred / Bonus Skills (Nice To Have):
Experience building Kubernetes Operators or Custom Resource Definitions (CRDs)
Background in MLOps, ML model serving (Triton, KServe, Ray Serve)
Experience with GPU workload management and resource optimization
Contributions to open-source cloud-native projects (CNCF ecosystem)
What Makes You A Great Fit:
You have deep experience building distributed systems that scale
You're passionate about cloud-native architecture and Kubernetes-based platforms
Benefits
Competitive salary and equity package
100% Employee Covered Medical, Dental, Vision Plan Base Plans (PPO & HMO)
Life Insurance, 401k, Flexible Spending Accounts, & More
Company Description:
Based in Southern California, Salt AI is pioneering the future of life sciences with advanced AI. Founded in 2024 by Aber Whitcomb and Jim Benedetto—veterans of MySpace, Jam City, Gravity, and Core Scientific—our leadership team brings over 15 years of collaboration. We're not just building products, but transforming what's possible in research and discovery. We value diverse perspectives and are committed to an inclusive team. If you're excited about shaping the future of AI in life sciences, we'd love to connect with you.
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Build high-performance gRPC and RESTful APIs for inter-service communication
Design reliable message queuing and event streaming systems (Redis, Kafka, RabbitMQ)
Implement infrastructure-as-code using Terraform for multi-cloud deployments
Develop backend services for AI/ML workflow orchestration with strong reliability and observability
Optimize containerized workloads and GPU resource management in Kubernetes environments
Build data processing pipelines with emphasis on scientific data integrity and traceability
Collaborate with AI/ML engineers to integrate distributed backend services into the platform
Contribute to frontend development using React and TypeScript when needed for full-stack features
Participate in system design, code reviews, and architectural decision-making
Proficiency Python or Golang, Typescript, Kotlin, etc for microservices development
Hands-on experience with Dapr, service mesh, or similar microservices frameworks
Strong understanding of event-driven architectures and message queuing systems
Experience building gRPC services and RESTful APIs
