Data Infrastructure Engineer
1 week ago
The Data Infrastructure team at Contextual AI powers product development, applied research, and customers' data-intensive workloads. We design, build, and operate foundational data services that shape the technical direction of our data engineering team.
Key Responsibilities- Design and implement scalable services, APIs, and databases to support 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.
- Work directly with product managers and application engineers to understand customer requirements for end-to-end RAG systems.
- Ensure seamless integration with machine learning models and pipelines.
- Mentor and guide junior team members.
- Master's or PhD degree in Computer Science, Software Engineering, or a related field.
- 5+ years in scaling Kubernetes services, distributed queuing systems, and streaming infrastructure.
- Proven ability to diagnose distributed vector databases and Elasticsearch failures.
- 5+ years of experience with infrastructure tooling such as Terraform, Kubernetes, Python, Go, or Java.
- Familiarity with machine learning concepts and frameworks.
- Strong problem-solving skills and excellent communication and interpersonal skills.
Competitive salary range: $140,000 - $300,000 + equity + benefits. Contextual AI is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
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