Назад
2 дня назад

Senior Software Engineer (AI Infrastructure)

220 000 - 260 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer (AI Infrastructure): Building the agentic platform, LLM efficiency systems, data access layers, and event-driven infrastructure that power Snorkel's AI products with an accent on agent orchestration, governance, observability, and cost control. Focus on designing scalable Python and AWS services, optimizing token usage, securing agent tool access, and operating reliable data and AI workflows.

Location: Hybrid in Redwood City, California, or San Francisco, California

Salary: $220,000–$260,000 USD annually

Company

Snorkel AI helps enterprises transform expert knowledge and proprietary data into specialized, production-ready AI systems.

What you will do

  • Design and build the shared agentic platform, including orchestration, memory, context graphs, MCP tool access, evaluation, observability, and governance layers.
  • Develop LLM efficiency infrastructure for queuing, throttling, batching, caching, model routing, token metering, and cost attribution.
  • Build data access libraries and SDKs for Snowflake, S3, and RDS with authentication, RBAC, pagination, and query governance.
  • Implement reliable event-driven data flows with event brokers, CDC connectors, schema registries, routing, and dead-letter queues.
  • Build data and agent governance, lineage, audit, PII handling, and retention infrastructure for enterprise and federal compliance.
  • Own reliability and cost optimization through OpenTelemetry instrumentation, SLOs, alerting, incident response, and on-call support.

Requirements

  • 4+ years of experience building and operating platform infrastructure, data infrastructure, or backend systems with significant data components.
  • Strong Python proficiency and hands-on experience with LLM APIs, tokens, context windows, rate limits, batching, and caching.
  • Daily use of AI-assisted development tools such as Claude Code, Cursor, or similar is required.
  • Strong SQL skills and experience with at least two of Snowflake, Redshift, and Postgres.
  • Experience with AWS services including S3, RDS, EKS, EventBridge, and IAM, plus Terraform-managed environments.
  • Experience with Kubernetes, data orchestration or transformation tools, and data governance concepts such as RBAC, PII handling, audit logging, and lineage.

Nice to have

  • Experience with agentic systems, MCP gateways, agent memory or knowledge layers, or evaluation harnesses.
  • Experience with LLM serving infrastructure, event-driven architectures, shared SDKs, OpenTelemetry, ClickHouse, Ray, or regulated environments.

Culture & Benefits

  • Work in a rapidly scaling company with market-proven solutions and robust funding.
  • Influence foundational technical priorities and strategic decisions.
  • Opportunities for technical growth, leadership development, and cross-functional learning.
  • Equal employment opportunity and reasonable accommodation are provided.

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