2 дня назад
Full-Stack Engineer, AI Studio
39 972 - 54 081€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full-Stack Engineer, AI Studio (JavaScript/TypeScript, Python, AI): Building scalable enterprise AI applications and automation products across frontend, backend, data, and AI components with an accent on accessible interfaces, secure APIs, and production reliability. Focus on integrating LLMs, embeddings, vector search, RAG, and bounded agents while designing layered testing, observability, Responsible AI, and GxP controls.
Location: Lisbon, Portugal
Salary: €39,972.95–€54,081.05 per year
Company
is a healthcare and biotechnology company using innovation and technology to develop solutions that serve patients.
What you will do
- Own defined production components and vertical slices within enterprise AI applications and automation products.
- Define component boundaries, acceptance criteria, non-functional requirements, support expectations, and delivery estimates with product, UX, business, architecture, and engineering partners.
- Design and implement accessible, responsive UI components using modern JavaScript or TypeScript frameworks.
- Build APIs, services, background jobs, data models, integrations, queues, events, and versioned contracts using Python, Node.js, Java, C#, SQL, and NoSQL technologies.
- Integrate approved model inference, LLMs, embeddings, vector search, RAG, structured outputs, agent tools, BI, and workflow automation with validation and human control.
- Implement layered testing, cloud delivery, CI/CD, monitoring, rollback, incident practices, security, Responsible AI, accessibility, traceability, and GxP controls.
Requirements
- Master’s degree with 4–6 years of relevant experience, bachelor’s degree with 6–8 years, or diploma with 9–10 years.
- Hands-on proficiency in JavaScript or TypeScript, at least one backend language such as Python, Java, C#, or Node.js, and SQL.
- Experience owning at least one production frontend, backend, API, data, integration, automation, or AI-enabled component.
- Ability to design, build, release, monitor, diagnose, and maintain a defined production slice with limited guidance.
- Knowledge of APIs, authentication and authorization, distributed systems, persistence, testing, observability, security, privacy, and lifecycle operations.
- Strong analytical, troubleshooting, communication, collaboration, and technical judgment skills, including the ability to guide junior engineers.
Nice to have
- Experience with Next.js, design systems, GraphQL, WebSocket, Kafka, durable workflows, stream processing, API gateways, or vector stores.
- Experience with scikit-learn, PyTorch, TensorFlow, Hugging Face, model-serving APIs, RAG evaluation, agent orchestration, document intelligence, computer vision, BI, or automation.
- Experience with AWS, Databricks, Kubernetes, serverless services, infrastructure as code, OpenTelemetry, Prometheus, Grafana, Splunk, CloudWatch, or feature management.
- Background in healthcare, life sciences, GxP, validated systems, or another regulated environment.
Culture & Benefits
- Work within an AI and Data Science organization focused on responsible, reusable, and measurable AI products.
- Collaborate with product, UX, business, architecture, ML, platform, security, quality, and operations teams.
- Join a Lisbon-based capability center with more than 500 employees representing over 40 nationalities.
- Work in an environment recognized among Portugal’s Best Workplaces.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
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