
51 - 200 funcionários
Fundada em 2002
💸 Finanças
💳 Fintech
Finance • Fintech
A VFX Financial é uma empresa que oferece soluções premium para serviços de câmbio global e pagamentos internacionais. Eles proporcionam uma plataforma que suporta transações em mais de 60 moedas e conta com tecnologia avançada para operações rápidas e seguras. A VFX Financial é regulada por várias autoridades financeiras, incluindo a FCA no Reino Unido e a DFSA em Dubai, garantindo conformidade nos serviços financeiros que oferecem.
🕒 Julho 18
🇵🇹 Portugal – Remoto
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🤖 Engenheiro de Automação de Testes
👻 Score fantasma 19%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2002
💸 Finanças
💳 Fintech
Finance • Fintech
A VFX Financial é uma empresa que oferece soluções premium para serviços de câmbio global e pagamentos internacionais. Eles proporcionam uma plataforma que suporta transações em mais de 60 moedas e conta com tecnologia avançada para operações rápidas e seguras. A VFX Financial é regulada por várias autoridades financeiras, incluindo a FCA no Reino Unido e a DFSA em Dubai, garantindo conformidade nos serviços financeiros que oferecem.
• AI Adoption & Use-Case Delivery • Work with business stakeholders across Operations, Finance, and Technology to identify, prioritise, and scope AI and automation use cases • Maintain and manage the AI use-case register, including intake, prioritisation, status tracking, and outcomes measurement • Drive adoption of deployed AI tools (Claude Enterprise and equivalents) — structured rollout, training, and usage measurement by function • Stay current on enterprise LLM and AI tooling developments; advise the Data & AI Lead on relevant capabilities • Automation Engineering • Design and build production-grade automations using Power Automate, Python, and API integrations, targeting operational workflows across payments, FX, treasury, onboarding, and internal operations • Build and maintain automated workflows and AI pipelines with human-in-the-loop controls, escalation paths, and audit trails • Integrate LLM workflows with internal systems and third-party APIs using the Claude API or equivalent enterprise LLM APIs; Document all automations with clear operational runbooks; ensure solutions are maintainable by others • Production Controls & Governance • Apply production engineering standards to all AI deployments: secrets management, prompt and model versioning, evaluation datasets, output quality thresholds, and observability • Implement cost monitoring and usage controls for LLM API consumption • Build and maintain rollback and kill-switch mechanisms for all production AI workflows • Apply personal data minimisation principles — no personal data in prompts unless explicitly reviewed and approved • Produce the technical input for vendor, security, privacy, and data-residency assessments for any new AI tool or integration, working with the relevant control functions • Operate within the AI governance framework; provide technical evidence and control documentation to Compliance, Risk, Security, and the DPO as required • Maintain awareness of AI regulatory developments, including the EU AI Act timetable, and flag implications to the Data & AI Lead and Compliance • SOP & Process Redesign • Work with Operations to review existing SOPs and identify where automation can reduce manual effort, error risk, or processing time • Where automation is not yet appropriate, document improved manual processes that are automation-ready • Measure and report on automation impact — hours saved, error reduction, throughput improvements
• 3–6 years of hands-on software or automation engineering experience • Proficiency in Python (e.g. scripting, API integration, workflow automation) • Practical experience building with enterprise LLM APIs, such as Claude API, OpenAI, Azure OpenAI, or equivalent • Experience with Power Automate or equivalent low-code/no-code automation platforms in a production context • Ability to gather requirements from non-technical stakeholders and translate into working solutions • Understanding of production controls: secrets management, versioning, observability, error handling, and rollback • Strong written English (e.g. documentation, runbooks, and stakeholder communication)
• Generous Profit Share Plan (PSP) • Potential Equity opportunities via the Company Share Option Plan (CSOP) • Competitive salary • Annual all-expenses paid company incentive trip abroad • Flexible learning & development budget
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