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3 часа назад

Staff Platform Engineer (AI)

180 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
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
Staff Platform Engineer (AI) (Amazon Bedrock/AWS): Building the secure platform infrastructure for production AI agents, including orchestration, retrieval pipelines, data ingestion, and developer-facing abstractions with an accent on agent governance, security, and large-scale ocean data. Focus on designing RAG and vector search systems, enforcing least-privilege access and approval boundaries, and implementing LLMOps, observability, and evaluation release gates.

Location: Remote

Salary: $180,000–$220,000 annually plus equity

Company

hirify.global builds and operates autonomous underwater vehicles that collect georeferenced ocean-floor data and delivers bathymetric and imagery products through its own platform.

What you will do

  • Architect and operate the Amazon Bedrock integration, including agents, action groups, backend APIs, model access, throughput, and multi-environment deployment.
  • Build the end-to-end retrieval data plane, covering ingestion, chunking, embeddings, index design, and storage in Amazon OpenSearch Serverless.
  • Extend data pipelines for internal knowledge, ocean data, and customer platforms, including geospatial and large-binary datasets.
  • Secure AI infrastructure with Bedrock Guardrails, VPC and PrivateLink boundaries, least-privilege IAM, data isolation, and audit trails.
  • Define agent governance, approval boundaries, monitoring, LLMOps observability, and automated evaluation release gates.
  • Provide SDKs, APIs, abstraction layers, self-service environments, infrastructure as code, and operational support for engineering teams.

Requirements

  • 8+ years of software and infrastructure engineering experience, including production backend work in Python or TypeScript; Go is also acceptable.
  • Production experience with Amazon Bedrock agents, knowledge bases, guardrails, model access, throughput, and quotas.
  • Experience deploying containerized services on ECS, EKS, or Lambda and owning CI/CD systems.
  • Practical RAG and vector search experience, including embeddings, chunking, semantic search, and production-scale vector databases.
  • Strong AWS expertise across IAM, VPC, PrivateLink, Lambda, S3, KMS, CloudWatch, and infrastructure as code with Terraform, CDK, or CloudFormation.
  • Staff-level technical leadership, developer-facing platform or API design, multi-tenant service operation, agent security, and production LLM experience.

Nice to have

  • LLM evaluation systems, AI red-teaming, or participation in the AI security community.
  • GraphRAG, knowledge graphs, or retrieval over geospatial, scientific, and large-binary datasets.
  • Experience with intermittent links, store-and-forward systems, hub-and-spoke topologies, edge systems, and reconciliation.
  • SOC 2, government or defense data, autonomous systems, data platforms, or field operations experience.

Culture & Benefits

  • Remote, full-time position on a small team with broad ownership and an early-stage platform build.
  • Base compensation of $180,000–$220,000 annually plus equity.
  • Pragmatic use of managed infrastructure, with a focus on shipping reliable systems rather than unnecessary architectural complexity.
  • Security is designed into the platform from the start, with emphasis on safe and accountable autonomous systems.

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