2 months ago

Software Engineer, Cortex AI Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and scale AI-backed backend infrastructure for enterprise data products (Snowflake Intelligence, Cortex Agents, and Search). You’ll design high-performance runtimes, power retrieval-augmented generation systems, and multi-tenant microservices with strong observability, while optimizing routing, caching, and resource usage in a distributed, cloud-native environment.

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build Agentic Runtimes: Help build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management.
•Scale Context Engineering Infra: Develop and design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable search indexing, query processing, and semantic caching.
•Develop the "Evals Engine": Build the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and experiments.
•Productionize AI Workflows: Collaborate with the modeling team to turn raw LLM capabilities into hardened, multi-tenant microservices with guardrails and observability.
•Optimize Performance: Implement system optimizations for model routing, prompt caching, and token optimization to ensure maximum efficiency.

Pay and Benefits

Salary: USD 160,000 - 225,000 annually

Key Requirements

•Bachelor's degree in Computer Science or a related technical field; Masters or PhD preferred.

Experience:4+ yearsAIEnterprise dataDistributed systems

Education:Bachelor's

Skills:Growth mindsetCollaborationProblem-solving

Tech Stack:PythonGoJavaC++KubernetesFoundationDBPyTorchTensorFlowXGBoostAPIDistributed systemsCI/CD

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

2 months ago

Software Engineer, Cortex AI Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build Agentic Runtimes: Help build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management.
•Scale Context Engineering Infra: Develop and design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable search indexing, query processing, and semantic caching.
•Develop the "Evals Engine": Build the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and experiments.
•Productionize AI Workflows: Collaborate with the modeling team to turn raw LLM capabilities into hardened, multi-tenant microservices with guardrails and observability.
•Optimize Performance: Implement system optimizations for model routing, prompt caching, and token optimization to ensure maximum efficiency.

Pay and Benefits

Salary: USD 160,000 - 225,000 annually

Key Requirements

•Bachelor's degree in Computer Science or a related technical field; Masters or PhD preferred.

Experience:4+ yearsAIEnterprise dataDistributed systems

Education:Bachelor's

Skills:Growth mindsetCollaborationProblem-solving

Tech Stack:PythonGoJavaC++KubernetesFoundationDBPyTorchTensorFlowXGBoostAPIDistributed systemsCI/CD

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn