pythondockerllmmachine learningpytorchroboticshuggingfacemodel evaluationagent development
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Robotics) (AI/LLM systems): Build production agent tools, fine-tune open-weight language and vision-language models, and serve them for customer deployments with an accent on agent orchestration, model optimization, and evaluation reliability. Focus on designing tool-driven robot programming workflows, distilling and quantising models, and deploying self-hosted inference on GPUs in on-premises and airgapped environments.
Location: Singapore, SG
Company
hirify.global builds AI agent and model systems for robot programming and industrial automation.
What you will do
Design and build agent tools and process skills for scan planning, robot program generation, and motion error resolution.
Develop multi-model orchestration, routing tasks across large and small models to balance accuracy, latency, and token cost.
Fine-tune, distill, serve, and optimize open-weight language and vision-language models for customer deployments.
Build deterministic evaluation harnesses, benchmark suites, logging, and tracing for agent and model reliability.
Own model and dataset versioning, experiment tracking, release workflows, and training and evaluation datasets.
Requirements
2–5 years of experience building machine learning or large language model systems that reached production.
Strong Python skills and solid engineering practices, including testing, Git, code review, and API development.
Hands-on experience with agent development, tool and function calling, structured outputs, prompt engineering, and context engineering.
Hands-on fine-tuning of open-weight models using PyTorch, Hugging Face, and parameter-efficient fine-tuning libraries.
Experience designing objective model or agent evaluations and deploying models with Docker, GPU inference, and cloud platforms.
Nice to have
Experience with multi-agent architectures, distillation, quantisation, or on-premises and airgapped deployment.
Experience with vision-language models, 3D point clouds, computer vision, robotics, Robot Operating System, motion planning, or industrial automation.
Experience with Agile development and Jira.
A degree in computer science or a related field.
Culture & Benefits
Success is measured through production delivery, evaluation coverage, model ownership, and customer deployment.
The role includes ownership of agent and model development through evaluation and release.
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