Data Infrastructure Engineer

2 days ago


Mountain View, California, United States Contextual AI Full time
Job Overview

The Data Infrastructure team at Contextual AI is responsible for designing, building, and operating foundational data services that power product development, applied research, and customers' data-intensive workloads.

Key Responsibilities:
  • Design and implement scalable services, APIs, and databases to support the processing and ingestion of petabytes of information daily.
  • Architect and build streaming infrastructure, data orchestration systems, vector databases, and Elasticsearch indices.
  • Collaborate with ML researchers to understand state-of-the-art requirements for RAG systems, translating them into service specifications.
  • Work directly with product managers and application engineers to understand customer requirements for end-to-end RAG systems, and translate them into technical solutions.
  • Ensure seamless integration with machine learning models and pipelines, enabling efficient model deployment and management.
  • Mentor and guide junior team members, promoting knowledge sharing and professional growth.
Requirements:
  • Education: Master's or PhD degree in Computer Science, Software Engineering, or a related field.
  • Experience: 5+ years in scaling Kubernetes services, distributed queuing systems, and streaming infrastructure.
  • Technical Skills: 5+ years of experience with infrastructure tooling such as Terraform, Kubernetes, Python, Go, or Java.
  • Machine Learning: Familiarity with machine learning concepts and frameworks, including dense information retrieval.
  • Problem-Solving: Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
  • Communication: Excellent communication and interpersonal skills, with the ability to work closely with cross-functional teams.
What We Offer:

Contextual AI is an equal opportunity employer and offers a competitive salary range of $140,000 - $300,000 + equity + benefits (actual compensation will be determined based on experience, location, and other factors permitted by law).

We are committed to creating an inclusive and diverse work environment that values and respects all employees.



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