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Eventual
Actively Hiring
Eventual: Harnessing AI to transform ideas into massively scalable, cloud-ready architectures11-50 Employees
  • B2B
  • Early Stage
    Startup in initial stages

Jobs at Eventual

Eventual, helps businesses leverage AI to automatically build, scale and operate modern event-driven architectures that solve complex business orchestration and coordination problems. Our approach significantly accelerates the journey from ideas to implementation by translating business requirements written in natural language into a best-practice architecture built with eventualCloud’s distributed systems primitives running on AWS. This brings at least a 10x increase in delivery velocity by enabling an instant feedback loop between business and engineering teams, reducing what typically takes weeks of effort down to minutes or hours. Eventual scales with your business needs by utilizing Infrastructure-as-Code (IaC) to deploy production-ready services that integrate directly into your tech stack and operate within your own data, security, and privacy boundaries.
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Engineering

Software Engineer, Large-Scale Data Query Systems

NewPosted 2 weeks ago

Software Engineer, Large-Scale Data Query Systems

  • Planning/Query Optimizer: intelligently optimize users’ workloads with modern database techniques
  • Execution Engine: improve memory stability through the use of streaming computation and more efficient data structures
Engineering

Member of Technical Staff, Specialized Focus

NewPosted 3 weeks ago

Member of Technical Staff, Specialized Focus

  • Design and build highly reliable and resilient products and features.
  • Work closely with cross-functional product and customer-facing teams to understand requirements and ship thoughtful solutions.
Engineering

Research Engineer, Multimodal Data

NewPosted 3 months ago

Research Engineer, Multimodal Data

  • Own the visual understanding roadmap end-to-end: from picking the model family for a customer's taxonomy to landing it in production inference at corpus scale.
  • Train, fine-tune, and evaluate VLMs, VQA models, embedding models, and convolutional perception models against customer datasets and benchmarks.