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Senior AI Engineer

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Senior AI Engineer in USA

  • BrightAI Corporation
  • Full time
  • Email
  • Palo Alto, CA

Responsibilities

  • Own the on-device dialog pipeline, including intent routing, hybrid intent classification, speech-input normalization, and multi-step guided procedures.
  • Maintain deterministic safety guardrails around language-model output, including confirmation gating, criticality tagging, echo-back validation, and negation handling.
  • Run and optimize small language models on constrained devices within memory, latency, computational, and thermal budgets.
  • Maintain the configuration-driven model for adding device commands and customer procedures without code releases.
  • Coordinate device deployment with the edge team and maintain the API contract with the on-device voice and speech-to-text stack.
  • Define and run benchmarks for latency, accuracy, and safety-critical false-accept and false-reject rates.
  • Build golden datasets and non-regression suites used as release gates as command and procedure catalogs expand.
  • Lead migration from zero-shot to fine-tuned on-device models while avoiding per-customer retraining.
  • Collaborate with product, firmware, cloud, and domain teams to launch languages, device commands, and guided workflows.

Requirements

  • 5+ years of experience in ML or AI focused on NLP, LLMs, or conversational AI.
  • Applied experience with NLU, dialog systems, or on-device machine learning.
  • Strong experience with LLM prompting, structured output, tool and function calling, evaluation, embeddings, semantic similarity, and retrieval-augmented generation.
  • Strong Python skills and fluency with pytest, Git, and tested, reviewable production code.
  • Experience building edge conversational systems with multi-turn dialog management and efficient intent/NLU pipelines.
  • Experience implementing disambiguation, repair, deterministic guardrails, confirmation gating, negation handling, and state-machine or workflow engines.
  • Experience deploying models to constrained hardware such as NPUs, mobile devices, or embedded targets, including ONNX, ONNX Runtime, quantization, and aarch64 packaging.
  • Practical embedded development experience with Linux, Docker, adb, systemd services, and device-log diagnostics.
  • Experience taking ownership of and maintaining a complex existing codebase.
  • Strong benchmarking, dataset, regression-testing, problem-solving, written-communication, and cross-functional collaboration skills.
  • Preferred experience with SLM fine-tuning, LoRA, QLoRA, instruction and format tuning, distillation, INT8 and INT4 quantization, ONNX optimization, profiling, and data-flywheel development.
  • Bonus qualifications include speech recognition, LLM-as-a-judge evaluation, multilingual NLU, industrial or safety-critical products, Go, MCP, agentic tooling, and startup experience.

Benefits

  • Full-time position based in Palo Alto, California.
  • On-site or hybrid work arrangement.

BrightAI Corporation

BrightAI is transforming essential services with Physical AI—real-world intelligence that drives proactive, data-driven operations. Built on the Stateful platform, BrightAI empowers operators of critical infrastructure to collect and connect sensor data in real time, uncover hidden insights, and ...

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