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3 часа назад

AI Engineer

135 000 - 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

Текст:
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TL;DR
AI Engineer (LLM/RAG): Building user-facing LLM features and production services for an aviation AI platform with an accent on retrieval-augmented generation, tool calling, evaluation, and safety. Focus on designing low-latency retrieval systems, controlling model cost and quality, and operating reliable AI features in a safety-critical domain.

Location: Hybrid in San Carlos, California, with 3+ days per week onsite; all work must be performed in the United States.

Salary: $135,000–$260,000 annual base salary plus equity.

Company

Build an AI platform that makes flying safer, more efficient, and more capable through mission-critical systems for aviation and defense.

What you will do

  • Build user-facing LLM features using retrieval-augmented generation, tool calling, structured outputs, validation, retries, and fallbacks.
  • Develop APIs and workers in Python or TypeScript with streaming, backoff, caching, prompt templates, and context packing.
  • Develop retrieval and data-preparation capabilities including chunking, embeddings, indexing, vector search, and knowledge-base synchronization.
  • Create offline and online evaluations covering task success, hallucinations, retrieval quality, latency, and cost.
  • Implement guardrails, PII detection and redaction, access controls, auditing, and human-in-the-loop workflows for sensitive actions.
  • Operate and debug production systems using tracing, logs, dashboards, provider integrations, and model-call monitoring.

Requirements

  • Experience shipping LLM features to users and improving them with data.
  • Strong production engineering skills, including code, tests, documentation, simplicity, and observability.
  • Depth in embeddings, chunking, vector search tradeoffs, function calling, evaluation design, and success metrics.
  • Ability to monitor p95 latency, meet SLAs, and reduce cost while maintaining quality.
  • Clear communication across product, infrastructure, and security partners.
  • U.S. Person status is required; visa sponsorship and visa transfers are not available.

Nice to have

  • Experience with Bedrock, OpenSearch Serverless, pgvector, Pinecone, or Weaviate.
  • Production prompt versioning, guardrails, and provider routing.
  • Multimodal work with time series or video.
  • Familiarity with GPU inference, Triton, TensorRT-LLM, aviation, safety-critical systems, CI/CD, IaC, or secure secrets handling.

Culture & Benefits

  • Small, focused teams own what they build, ship quickly, and learn fast without heavy processes.
  • Work on AI systems for aviation, defense, and major airline partners.
  • Healthcare coverage includes 100% of employee medical premiums and 25% for dependents.
  • Three weeks of paid time off and 13 or more paid company holidays.
  • 401(k) plan available without a current employer match.

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