Data Infrastructure Engineer
3 days ago
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.
- 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.
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).
Join our team and contribute to building scalable data infrastructure and cutting-edge AI solutions.
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