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15 часов назад

Agent Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Agent Engineer (AI) (LLMs, robotics): Building reliable embodied-agent systems for humanoid robots, including agent harnesses, long-horizon planning, voice interaction pipelines, and production backend services with an accent on autonomous behavior, orchestration, and edge-to-cloud deployment. Focus on designing planning loops, tool and skill interfaces, real-time STT–LLM–TTS interaction, and evaluation systems for industrialized robotic products.

Location: On-site in Metzingen / Riederich, Germany

Company

hirify.global develops cognitive humanoid robots that perceive, reason, plan over long horizons, and act autonomously in the physical world.

What you will do

  • Design and build the agent harness for a humanoid robotics platform, including control loops, tool and skill interfaces, state and memory management, retries, and safety guardrails.
  • Develop long-horizon planning and orchestration systems that decompose human intent into multi-step plans, coordinate skills and sub-agents, track execution, recover from errors, and escalate high-risk cases.
  • Design real-time conversational AI with STT, LLM, and TTS pipelines, including turn-taking, barge-in handling, and addressee detection.
  • Build production backend services, APIs, distributed interfaces, and edge-to-cloud deployments across the robotics ecosystem.
  • Establish evaluation and observability systems to measure task completion and industrialize reliable agent prototypes.
  • Collaborate with hardware and software teams and external partners to deliver end-to-end agentic robotics capabilities.

Requirements

  • Master's or PhD in Computer Science, Robotics, or a related field, or equivalent depth demonstrated through shipped work.
  • Experience building production agent systems that plan, use tools, maintain state, and operate reliably over long horizons.
  • Hands-on experience with LangGraph, AgentCore, MCP, or custom orchestration frameworks, with the ability to choose between agents and deterministic workflows.
  • Professional backend engineering experience with production services, API design, distributed and microservice architectures, clean code, testing, and DevOps practices.
  • Experience with cloud and edge-to-cloud deployments, Docker, Kubernetes, CI/CD, and production model and service deployment.
  • Strong knowledge of LLMs, VLMs, and NLP; excellent Python and English skills.

Nice to have

  • German language skills.

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