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Benefits offered by this job
Comprehensive benefits
Annual performance bonus
Equity opportunities
Job summary
A leading data and AI firm is seeking a skilled engineer to build LLM infrastructure that powers trillions of tokens weekly. The ideal candidate will have over 8 years in backend or infrastructure engineering, with strong skills in Scala, Go, or Python. Responsibilities include improving the efficiency of distributed AI workloads and collaborating with various teams. Databricks offers a competitive salary range of $190,000 to $261,250 USD, plus additional benefits.
Qualifications
8+ years of experience in backend or infrastructure engineering.
Strong programming skills in Scala, Go, or Python.
Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
Familiarity with service-oriented architecture, deployment pipelines, and system observability.
Responsibilities
Build LLM infrastructure powering trillions of tokens per week.
Improve reliability, latency, and efficiency of distributed AI workloads.
Collaborate with platform, infra, and ML teams to deliver seamless experiences.
Shape how developers and data scientists build and interact with AI.
Skills
Scala
Go
Python
Backend engineering
Infrastructure engineering
Distributed systems
Scalable APIs
Cloud-native infrastructure
Service-oriented architecture
Job description
A leading data and AI firm is seeking a skilled engineer to build LLM infrastructure that powers trillions of tokens weekly. The ideal candidate will have over 8 years in backend or infrastructure engineering, with strong skills in Scala, Go, or Python. Responsibilities include improving the efficiency of distributed AI workloads and collaborating with various teams. Databricks offers a competitive salary range of $190,000 to $261,250 USD, plus additional benefits.