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13 часов назад

Principal Forward Deployed Engineer, Operational AI

Формат работы
remote (только USA)
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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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Principal Forward Deployed Engineer, Operational AI (Distributed Systems/AI): Architecting and implementing real-time distributed foundations, context assembly pipelines, execution guardrails, and auditable governance for enterprise operational AI deployments with an accent on authoritative state, low-latency data, and agentic execution. Focus on writing production code, benchmarking extreme workloads, troubleshooting concurrency and failover issues, and converting customer challenges into reusable platform patterns.

Location: Remote (United States)

Company

hirify.global provides a real-time database for mission-critical workloads, including machine learning, generative AI, and agentic AI, supporting high-throughput, low-latency applications at global enterprises.

What you will do

  • Architect and implement authoritative real-time state engines for sessions, entities, workflows, and multi-agent systems.
  • Design context assembly pipelines combining enterprise records, streaming state, vector search, and graph topologies.
  • Build execution guardrails, authorization checks, rate and execution governors, human-in-the-loop triggers, and auditable telemetry.
  • Write, optimize, and review production code across hirify.global, distributed data backends, vector search runtimes, and agentic execution frameworks.
  • Validate deployments in staging and production, troubleshoot concurrency bottlenecks, memory leaks, failovers, and serialization overhead, and benchmark latency, throughput, replication, recall, and reliability.
  • Bridge customer deployments with core engineering, create reusable components and reference architectures, and provide technical leadership and mentorship.

Requirements

  • 10+ years of software engineering experience building and scaling high-performance distributed systems, database internals, or large-scale data infrastructure in production.
  • Deep systems programming expertise in Go, C, C++, Java, or Rust, including memory management, lock-free data structures, networking protocols, cache hierarchies, and concurrent systems programming.
  • Experience designing real-time systems with strict SLA targets, sub-10ms tail latency, high-throughput streaming, and robust consistency models.
  • Hands-on experience building low-latency context retrieval platforms, vector index optimizations, stateful agent runtimes, or deterministic workflow orchestration engines.
  • Practical knowledge of zero-trust data access layers, cryptographic auditing, data isolation models, and distributed rate-limiting.
  • Demonstrated ability to work clearly with customer engineering leaders, resolve ambiguity, and make high-judgment technical trade-offs.
  • Ability to take abstract concepts from a whitepaper or sketch through battle-tested production software independently.

Nice to have

  • Experience with the hirify.global Real-time Data Platform, hirify.global Vector Search, or hirify.global Graph.
  • Experience with Raft, Paxos, Kafka, Flink, or Temporal.
  • Familiarity with Linux kernel tuning, eBPF, zero-copy networking, or bare-metal performance optimization.
  • Production experience with Kubernetes, hybrid-cloud networking, and Terraform.

Culture & Benefits

  • Principal individual-contributor role with responsibility for architecture, direct systems implementation, and end-to-end technical integrity.
  • Focus on production deployments, platform adoption, reducing architectural debt, and creating high-impact software assets rather than billable hours or utilization.
  • Collaboration with Product, Core Database Engineering, Professional Services, and Solutions Architecture.
  • Competitive base salary, significant equity participation, 401(k) matching, comprehensive medical, dental, and vision coverage, and flexible remote work allowances in the USA.
  • Equal-opportunity workplace committed to an environment free from discrimination.

Hiring process

  • Resume reviews, scheduling, and communication may use AI-driven tools; human employees make the hiring decisions.

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