Principal Applied AI Engineer — Agentic Intelligence

Reposted 23 Days Ago
Palo Alto, CA, USA
In-Office
Senior level
Artificial Intelligence • Computer Vision • Conversational AI
SenseMesh is building the real-time AI operating system for the physical world.
The Role
The role involves building an advanced AI system that enables natural language reasoning, search, and evidence-based intelligence over a multi-sensor world model. Responsibilities include developing retrieval systems and evolving AI capabilities.
Summary Generated by Built In

Principal Applied AI Engineer — Agentic Intelligence

SenseMesh is building a real-time AI operating system for the physical world.

We connect cameras, drones, and other sensors into a shared reality graph — a live world model that helps people and machines understand what is happening, reason across time and space, and decide what to do next. Most systems in this category still stop at recording, detection, or alerting. We are building something much more capable: a system that helps operators investigate, understand, decide, and increasingly automate what happens next.

We already have strong foundations in perception, messaging, infrastructure, and an emerging intelligence layer on top. Now we are looking for a senior hands-on engineer to take ownership of that layer and help turn it into one of the defining capabilities of the company: natural language reasoning, agentic search, and evidence-grounded intelligence over a live multi-sensor world model.

You will work closely with the founding team — especially the CTO and CPO — and the broader engineering team to define how users ask questions of the physical world, how the system answers with evidence and judgment, and how perception turns into deeper understanding and action.

What you’ll work on

You’ll help build systems that let users ask questions like:

  • What happened at the front door between 2 and 4 PM?
  • Summarize everything unusual that happened overnight.
  • Is anyone home right now?

Your work will include

  • natural language search and reasoning over a multi-camera, multi-sensor world model
  • retrieval systems that combine structured filters, vector similarity, graph traversal, ranking, and summarization
  • routing and fusing sub-queries across heterogeneous sources
  • evolving retrieval toward direct visual embeddings such as CLIP and SigLIP
  • temporal reasoning over durations, sequences, and event order
  • evaluation methods for open-ended investigative queries where ground truth is often incomplete or ambiguou

What we’re looking for

Strong candidates will usually have built production systems in several of these areas:

  • AI search, question answering, or assistant systems
  • retrieval, ranking, and multi-step query orchestration
  • agent or tool-use workflows
  • graph-backed or structured-data reasoning
  • multimodal or video understanding
  • evals, observability, and iterative quality improvement

Above all, we are looking for someone with exceptional coding ability, strong engineering judgment, and strong product instincts — someone who can turn ambitious AI ideas into systems people trust in real-world conditions.

Why this role matters

We are not hiring someone to add AI to the product.

We are hiring someone to help define the intelligence layer that makes the product extraordinary.

If you want a place to do some of the best and most consequential work of your career, this is that kind of role.

Let’s build something great together.

Visit www.sensemesh.ai to learn more.

Skills Required

  • Exceptional coding ability
  • Strong engineering judgment
  • Strong product instincts
  • Experience building AI search or question answering systems
  • Experience with retrieval and ranking systems
  • Experience with multimodal or video understanding
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The Company
12 Employees

What We Do

SenseMesh builds AI systems that understand and coordinate the physical world in real time. Our platform connects cameras, drones, microphones, IoT devices, and other sensors into a unified AI operating layer. Instead of forcing operators to stare at dashboards or search through hours of footage, SenseMesh turns raw sensor data into structured, searchable, human-narratable intelligence — what we call the Reality Graph. Customers can ask natural-language questions about what happened, define missions for what the system should watch for, and trigger customer-approved workflows when important conditions occur. The system is designed to move beyond simple object detection into temporal reasoning: understanding events, sequences, persistence, anomalies, and context over time. We are starting with high-stakes physical environments — schools, hospitals, public safety, infrastructure, venues, and other places where real-time understanding matters.

Why Work With Us

Most video AI companies are still building better tags, dashboards, and alerts. SenseMesh is building something more fundamental: an agentic intelligence layer for the real world that understands what is happening and helps customers take action in real time.

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