Snowflake12 days ago
Senior Software Engineer - Cortex AI - FDE
Salary not specified
MARKET
14,583 ₽median for this role
Backend Developer · 47 jobs with disclosed pay
5,092half of the offers: 11,042–19,804308,000
The employer didn't disclose pay — compare with the market yourself.
Полная занятостьУдалёнка
Responsibilities
- 01Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management.
- 02Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction.
- 03Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments.
- 04Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant microservices with strict guardrails and observability.
- 05Optimize Performance & Cost: Direct the infra strategy for model routing, prompt caching, and token optimization to ensure Snowflake’s AI features are the most efficient in the industry.
Requirements
- 01Education: Bachelor’s degree in Computer Science or a related technical field.
- 02Experience: 7+ years of experience building distributed systems, high-throughput APIs, or backend infrastructure for AI/ML products.
- 03Technical Stack: Deep proficiency in Go or Java (for systems) and Python (for AI orchestration).
- 04Systems Thinking: Strong understanding of database internals, distributed state management, and cloud-native architecture (Kubernetes, FoundationDB, etc.).
- 05Domain Expertise: Familiarity with the "plumbing" of AI: vector indices, agent platforms, and building scalable data pipelines.
- 06Experience in a customer-facing technical role — you have explained a hard failure to a frustrated external audience and been believed, you can produce both the internal analysis and the customer-safe version.
- 07Product instinct — you can judge whether one customer's problem is bespoke or a platform gap worth fixing for everyone. This is the core judgment call.
- 08Cross-layer debugging — tracing a request across services and root-causing in unfamiliar code from logs and telemetry, not guesswork.
- 09Eval frameworks for LLM/agent systems — defining quality metrics and using evals to improve quality systematically over time.
- 10Comfort with ambiguity on open-ended, externally-driven problems.
What we offer
- 01For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com