5 дней назад
Senior Applied AI Engineer (LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
, 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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