Beaconai

Staff Applied AI Engineer, Agentic Systems

Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “San Carlos - Hybrid”
Apply on Beaconai's site ↗

Opens the employer's official application page.

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About this role

Beaconai is hiring for a Staff Applied AI Engineer, Agentic Systems role (full-time). See the official posting for full details.

Requirements

  • Agentic systems and context engineering: Agent orchestration patterns, planning and execution, tool-use architectures, persistent and transient memory, and context management.
  • Information retrieval and knowledge representation: Semantic and structured retrieval, information extraction, document understanding, entity and relationship modeling, and knowledge-driven tool design.
  • AI evaluation and reliability: Evaluation methodology, benchmark and dataset construction, human and model-based assessment, statistical analysis, and systematic failure characterization.
  • Model adaptation and inference optimization: Fine-tuning, model selection, inference serving, quantization, batching, and performance optimization.
  • Aviation, aerospace, or another technically complex, safety-critical domain.
  • Computational linguistics, NLP, information science, or knowledge representation.
  • Designing systems that reason over technical documentation, regulations, or heterogeneous operational data.
  • Developing or operating distributed, event-driven, and containerized services.

Summarized from the employer's posting — check the full posting for every requirement.