Applied AI Engineer for Production-Ready Physical Robotics

dexmate; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Dexmate is building a unified platform that blends high-quality robotic hardware with a universal Physical AI OS. Dexmate is seeking an Applied AI Engineer to design, build, and ship AI-powered features across its 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. You will own AI features from system design through implementation, rollout, and production monitoring, and

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.

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.

Skills

Python

LLM/Agent Development

Tool calling

RAG/Context systems

Orchestration

Tools

APIs

Evaluation

Job description

Dexmate is building a unified platform that blends high-quality robotic hardware with a universal Physical AI OS. Dexmate is seeking an Applied AI Engineer to design, build, and ship AI-powered features across its 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. You will own AI features from system design through implementation, rollout, and production monitoring, and