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Agentic AI Specialist Flows & Automation

Job

Sensory

Remote

$155,000 Salary, Full-Time

Posted 1 day ago (Updated 9 hours ago) • Actively hiring

Expires 6/11/2026

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Job Description

Location:
Remote - US, Americas, and Europe preferred
Type:
Full-time Compensation:
Base salary: $135,000 - $175,000 per year. Sensory is expanding its AI team with an Agentic Specialist who will design and implement multi-step agentic tools, and on-device and hybrid agent flows that connect wake words, STT, SLMs, and downstream actions. This role sits at the intersection of product, engineering, and customer deployment, translating real-world use cases into robust agentic workflows. Responsibilities Design end-to-end agent flows that combine wake word detection, on-device STT, micro-NLU, SLM/LLM orchestration, and business logic for verticals like automotive, smart home, and devices. Build and maintain reusable flow templates and automation components that customers and internal teams can configure for their own products. Prototype, test, and optimize agentic behaviors for latency, accuracy, safety, and resource usage on constrained hardware. Collaborate with Product to define requirements and with Engineering to integrate flows into Sensory SDKs, APIs, and developer tools. Work directly with key customers' technical teams to design and refine agentic experiences for their devices and applications. Instrument flows for observability, logging, and evaluation, enabling continuous improvement and A/B testing. Requirements 3+ years in technical roles such as Solutions Architect, ML Engineer, Full Stack AI Engineer, Conversational Designer, or Automation/Workflow Engineer. Hands-on experience building agentic systems or complex automations using LLMs, workflow engines, or conversational AI platforms. Solid understanding of speech and language pipelines (wake word → STT → NLU/SLM → actions), and of on-device vs cloud trade-offs. Proficiency in at least two major programming languages (Python, Java, and C/C+ preferred) and comfort working with LLM code generators, APIs, SDKs, and cloud services. Strong system-thinking skills, able to turn conceptual requirements into well-structured flows and edge-case handling. Excellent command of conversational and relevant technical English. Nice to Have Experience with embedded or resource-constrained environments, including optimizing for memory, CPU, and power. Knowledge of safety, alignment, and evaluation techniques for agentic AI, including guardrails and fallback strategies. Experience with AI code generation, building fault tolerant solutions, and robust testing processes.

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