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5 дней назад

Senior Applied AI Engineer (LLM)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Applied AI Engineer (LLM): Building and deploying LLM-driven systems and agentic flows for requirements management and hardware engineering with an accent on tool-calling, orchestration, evaluation, and production optimization. Focus on designing benchmarks, improving model speed, cost, and accuracy, and moving AI applications from experimentation through deployment and continuous improvement.

Location: Lisbon, Portugal. On-site role; remote work is not available.

Company

hirify.global, through Altium, develops a cloud-based software platform for electronics product creation, connecting requirements management, PCB design, supply chain, and manufacturing workflows.

What you will do

  • Develop agentic flows using off-the-shelf LLMs for hardware design and requirements management use cases.
  • Apply tool-calling, planning, skills, sub-agents, MCP servers, and CLIs to build AI-driven product features.
  • Collaborate with software engineers, product managers, and designers in an agile, sprint-based environment.
  • Build evaluation pipelines, define metrics, collect data, and extend test suites and benchmarks.
  • Benchmark models, prompts, and approaches for speed, cost, and accuracy, using techniques such as RAG, fine-tuning, caching, prompt compression, and distillation.
  • Participate in the full AI product lifecycle from experimentation to deployment and continuous improvement.

Requirements

  • Profound knowledge of LLM engineering and production evaluation of LLM-based features.
  • Advanced Python development skills.
  • Production experience with agentic loops, tool-calling, agent orchestration, MCP servers, and evaluation and benchmarking pipelines.
  • Experience optimizing AI systems for cost and latency, including context compression and model cascading.
  • Ability to plan experiments and execute tasks autonomously with attention to detail.
  • Experience working in multidisciplinary teams to ship customer-facing features.

Nice to have

  • Experience with synthetic test data creation, distillation, orchestration debugging, or model fine-tuning.
  • Experience with hardware engineering software or end-to-end harnesses for agentic loops.
  • Experience building high-concurrency asynchronous services.
  • Experience with stateful agentic frameworks such as LangGraph.

Culture & Benefits

  • Permanent, full-time employment.
  • Private health insurance with family coverage extension.
  • Meal allowance, 22 vacation days, and shortened schedules on Christmas Eve and New Year's Eve.
  • Professional development grant and unlimited access to LinkedIn Learning and internal learning resources.
  • Mental health support, ergonomic office facilities, snacks, drinks, and a rooftop terrace.
  • Eligible employees may apply to work abroad for up to 30 business days in a rolling 12-month period.

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