Applied AI Engineer, Physical AI Platform
At a glance
Mid-level ML Platform & Ops role at Dexmate. Fremont · full-time · $120,000–$300,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build production agents that call tools, manage context and memory, and complete multi-step tasks
- Create chatbot and agent experiences for digital products and physical AI applications
- Add evaluations, safeguards, fallback paths, and monitoring to make agent behavior dependable
- Connect language and multimodal models with APIs and platform tools to support complete workflows
- Take AI features from system design through launch, implementation, and production monitoring
What you bring
- At least three years in software engineering or machine learning engineering
- Hands-on work building production applications based on LLMs or agents
- Experience with tool use, retrieval and context systems, prompting, orchestration, or evaluation
- Strong Python skills and solid software engineering fundamentals
Who this fits
This role suits a mid-level engineer who has shipped LLM or agent applications and wants to build AI features for software and robots. The role is onsite in Fremont. Multimodal model, VLM/VLA, or robotics experience is a plus.
From the employer
About Dexmate
Dexmate is building the foundation for physical AI — combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.
If you want to help shape the next layer of human capability — and believe the future of robotics should be built together, not in isolation — we'd love to build it with you.
The Role
We are looking for an Applied AI Engineer to design, build, and ship AI-powered features across Dexmate’s software and Physical AI platform. You will turn foundation models into production agents that can reason, use tools, take actions, and reliably interact with users and robots.
Responsibilities
Design and deploy production-grade AI agents with tool calling, multi-step workflows, context, and memory.
Build chatbot and agent experiences across digital and Physical AI applications.
Develop evals, guardrails, fallback, and observability for reliable agent behavior.
Integrate LLMs, multimodal models, APIs, and platform tools into end-to-end workflows.
Own AI features from system design through implementation, rollout, and production monitoring.
Minimum Qualifications
3+ years of software or ML engineering experience.
Hands-on experience building production LLM or agentic applications.
Experience with tool calling, RAG/context systems, prompting, orchestration, or evaluation.
Strong Python and software engineering fundamentals.
Experience with multimodal models, VLM/VLA, or robotics is a plus.