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Keyrus Portugal

Consultoria & Outsourcing IT · 11-50 · Website

Na Keyrus, fundimos Data & Digital para construir o amanhã. Com presença em 27 países e quase 30 anos de experiência, a nossa missão é 'Make Data Matter' para humanizar o futuro. Procuras usar a tecnologia para o mesmo propósito? Junta-te a nós em jobs.keyrus.pt

★Seguir112

4.1/5

63 Reviews

3 Vagas encontradas na Keyrus Portugal

Data scientist, data engineer, IA, ML ou big data

AI Engineer

Keyrus Portugal 4.1 63 Reviews

Lisboa (Regime: Híbrido) €52k - 60k Bruto anual Há 3 semanas

Analista de negócio

AI Business Value Advisor

Keyrus Portugal 4.1 63 Reviews

Lisboa, Porto (Regime: Híbrido) Sénior €80k - 100k Bruto anual Há 3 semanas

Fullstack

Spontaneous Application

Keyrus Portugal 4.1 63 Reviews

Lisboa, Porto (Regime: Híbrido) Há 3 semanas

AI Engineer

Há 3 semanas
Data scientist, data engineer, IA, ML ou big data
Lisboa
Híbrido
Muita procura de candidatos

€52k - 60kBruto anual

Concorrer 94 pessoas clicaram em Concorrer
A candidatura é feita no site da empresa.

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Sobre a vaga

As an AI Engineer, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making. You will work closely with Software Engineers, Data Engineers, and AI Foundation Architects, while retaining clear ownership of the AI behaviour and quality of the solution.

O que vais fazer

Design and build production AI capabilities, including RAG systems, intelligent assistants and agent-enabled workflows aligned with the approved solution architecture
Engineer agent behaviour across instructions, context, tools, state, routing, memory, recovery, stopping conditions and appropriate human checkpoints
Integrate and configure models through APIs or supported platforms, making the right trade-offs between capability, quality, latency, cost and operational requirements
Design evaluations and quality gates using representative datasets, automated and regression testing, task-success measures, groundedness and other relevant indicators
Deploy, monitor and improve AI capabilities in production, using evaluation results and observed system behaviour to drive continuous improvement
Implement reliability and control mechanisms such as validation, guardrails, failure handling and human oversight, within the architecture and governance standards defined for the engagement
Integrate AI capabilities with the surrounding solution and client systems, working with Software Engineers on application interfaces and with Data Engineers on retrieval, data quality and AI-ready data
Enable client teams to run and extend the agents after go-live
Document and reuse what works, including AI behaviour, dependencies, evaluation criteria, limitations and engineering patterns that strengthen future Keyrus engagements

O que é pedido

Degree in Computer Science, Engineering or a related field, or equivalent professional experience
Strong hands-on experience building production GenAI / LLM-based systems, beyond notebook-based or demonstration work
Experience deploying and operating AI capabilities in production, including monitoring, reliability, latency, cost and continuous improvement
Ability to work effectively in multidisciplinary teams alongside software, data, architecture and governance specialists
Availability for monthly travel to Lisbon or Madrid
Professional fluency in Portuguese, Spanish and English, written and spoken
Strong Python and software-engineering fundamentals, including APIs, testing, version control, code review and maintainable production code
Practical experience designing and improving RAG and retrieval-based systems, including context preparation, retrieval quality, grounding and relevant data dependencies
Hands-on experience engineering AI agents or multi-step AI workflows, including tool use, context management, routing, state, failure handling and human control
Experience creating evaluations for LLM or agent systems, using measurable criteria and representative test cases to assess behaviour and detect regressions
Experience integrating commercial or open-source model providers, and integrating AI with enterprise applications, APIs, data sources and workflow systems
Ability to tie agent behaviour to the business KPI it serves
Working knowledge of solution-level guardrails, validation, human oversight and responsible AI engineering practices
Familiarity with at least one major cloud or AI ecosystem, plus containerisation, CI/CD, observability and LLMOps practices
Depth in one or more ecosystems such as LangGraph, LangChain, LlamaIndex or Semantic Kernel; OpenAI, Anthropic, Google, Microsoft or open-source models; and pgvector, Pinecone, Weaviate or Milvus

Valorizado

Deeper agentic AI experience, including multi-agent orchestration, planning and execution loops, complex state management, recovery strategies and sophisticated human-in-the-loop patterns
Experience with multimodal systems, fine-tuning, open-source model deployment or specialised inference
Classical machine-learning or deep-learning experience
Low-code agent platforms such as n8n, Make or Dust for fast automations alongside code
Experience in regulated or security-sensitive environments
Consulting or client-facing experience, and exposure to international projects or multicultural teams
Experience mentoring engineers or creating reusable AI engineering standards, components or evaluation approaches

O que é oferecido

Compensation: €42k–€58k per year
Meal allowance: €10.20/day
Flexible benefits plan
Private medical insurance
22 days of annual leave, increasing every 3 years (up to 25 days)
Continuous learning via KLX – Keyrus Learning Experience

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.

Investimento de tempo

57 min

Investimento de tempo em entrevistas

Índice de dificuldade das entrevistas

50/100

Processo de entrevista

Step #1 Application and recruiter interview

Step #2 Hiring manager interview

Step #3 Task or challenge

Step #4 Final interview and/or offer

De 54 reviews de entrevistas na Keyrus Portugal. Ler as reviews

Quanto paga este cargo

Ainda não há salários reportados suficientes para comparar este cargo. Calculadora de salários TI

✸ Benefícios e vantagens (8)

Apoio educação / infância
Flex benefits
Flexibilidade de horário
Pet friendly
Prémios de performance
Programa de descontos
Seguro de saúde
Suporte psicológico

✸ Valores e cultura (9)

Ambiente internacional
Depende do projeto / equipa
Feedback contínuo e 360º
Igualdade de género
Incentivo à criatividade & inovação
LGBTQ+ friendly
Metodologias agéis
Remote first
Tecnologias de ponta

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3 Vagas encontradas na Keyrus Portugal