Full-Stack Engineer, AI Studio

Amgen; Lisboa; Presencial; EUR 80 000 - 115 000; Tempo integral

Resumo da oferta

Amgen in Lisbon, Portugal, is seeking a Full-Stack Software Engineer for AI Studio to own defined production components end-to-end, spanning frontend to backend across enterprise AI applications. You will join the Applied AI team (AI Studio) to turn business challenges into scalable AI products, collaborating with partners across product, UX, data and security to deliver measurable impact.

A Master's/Bachelor’s in CS/IT is typical, with 4–10 years of related experience.

Qualificações

• Ownership of at least one production frontend, backend, API, data, integration, automation or AI component.
• Proficiency in JavaScript/TypeScript and at least one backend language (Python, Java, C# or Node.js) and SQL.
• Ability to design, build, release, monitor, diagnose and maintain a defined production slice with limited guidance.

Responsabilidades

• Define component boundaries with partners and establish acceptance criteria and non-functional requirements.
• Design and implement accessible, responsive UI components with modern JS/TS frameworks.
• Build APIs, services, data models, migrations, queues and integrations across stacks.
• Integrate model inference, LLMs, embeddings, vector search, RAG and agent tools.
• Apply layered testing, monitoring, and secure deployment practices; ensure observability and reliability.

Conhecimentos

JavaScript/TypeScript

Python

Java/C#

Frontend development

Backend APIs

Cloud & CI/CD

AI-enabled applications

Formação académica

Master’s degree in CS/IT or related field

Bachelor’s degree in CS/IT or related field

Diploma with extensive CS/IT experience

Ferramentas

Next.js

GraphQL

Kafka

OpenTelemetry

AWS

Kubernetes

Descrição da oferta de emprego

Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces(TM) ranking by Great Place to Work(R) in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201-500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture.

We are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology.

This is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more.

Located in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients.

What we do at AMGEN matters in people's lives.

Full-Stack Software Engineer, AI Studio

Career Track: Individual Contributor

Primary Scope: Independent ownership of defined full-stack production components and vertical slices

About The Role

Role Description

The Full-Stack Software Engineer role offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle—from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. You will independently own defined production components and vertical slices within enterprise AI applications and automation products.

Within Applied AI, AI Studio turns prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation, observability and lifecycle operations.

Roles & Responsibilities

• Define the component boundary with product, UX, business, domain, architecture and engineering partners; clarify intended use, acceptance criteria, non-functional requirements, user outcome, support expectations and estimates.
• Design and implement accessible, responsive UI components with clear state, secure sessions, loading, error, empty, streaming, review and approval patterns using modern JavaScript or TypeScript frameworks.
• Build APIs, services, background jobs, data models, queries, migrations, queues, events and integrations using Python, Node.js, Java or C#, SQL/NoSQL, versioned contracts, validation, authorization, retries and useful failure semantics.
• Integrate approved model inference, LLMs, embeddings, vector search, RAG, structured output, agent tools, BI or workflow automation with input/output validation, human control and component-level evaluation.
• Implement layered unit, integration, API, contract, UI, accessibility, performance, security, data and AI-evaluation tests and use evidence to diagnose moderate cross-layer failures.
• Use cloud services, containers, CI/CD, infrastructure as code where appropriate, feature flags, backward-compatible deployment, monitoring, rollback and incident practices.
• Define and maintain indicators for availability, latency, errors, frontend behavior, database performance, data freshness, AI quality, user experience, operating cost and support health.
• Apply identity, least privilege, OWASP, privacy, Responsible AI, accessibility, validation, traceability and GxP controls; contribute reusable components and guide Associate engineers on familiar work.

Basic Qualifications and Experience

• Master’s degree and 4 to 6 years of Computer Science, IT or related field experience OR
• Bachelor’s degree and 6 to 8 years of Computer Science, IT or related field experience OR
• Diploma and 9 to 10 years of Computer Science, IT or related field experience

Functional Skills

• Full-stack product engineering: Independent design, implementation, diagnosis and maintenance of a coherent frontend-to-backend production component or vertical slice.
• Backend, API, data and distributed systems: Versioned contracts, validation, authentication and authorization, caching, concurrency, queues, events, transactions, retries, idempotency, observability, persistence and schema evolution.
• AI-enabled applications and automation: Integration of predictive models, LLMs, embeddings, vector or hybrid search, RAG, structured output, tool-using agents, BI and deterministic workflows with human control.
• Testing, cloud and lifecycle reliability: Layered testing, source-control discipline, technical documentation, containers, CI/CD, configuration, versioning, monitoring, rollback, incident response, root-cause analysis and support.
• Security, Responsible AI and GxP: OAuth/OIDC, role-based access, least privilege, secrets, OWASP, privacy, threat awareness, prompt-injection safeguards, auditability, accessibility, validation and quality evidence.

Must-Have Skills

• Demonstrated ownership of at least one production frontend, backend, API, data, integration, automation or AI-enabled component.
• Strong hands-on proficiency in JavaScript or TypeScript, at least one backend language such as Python, Java, C# or Node.js, and SQL.
• Ability to design, build, release, monitor, diagnose and maintain a defined production slice with limited guidance.

Good-to-Have Skills

• Advanced frontend engineering: Experience with Next.js rendering patterns, reusable design systems, browser telemetry, frontend performance, complex data-intensive interfaces or accessible human-AI review workflows.
• Distributed services and integration: Experience with GraphQL, WebSocket, Kafka or other event platforms, durable workflows, outbox or saga patterns, stream processing, API gateways, graph/vector stores or complex integrations.
• AI and intelligent automation: Experience with scikit-learn, PyTorch, TensorFlow, Hugging Face, model-serving APIs, RAG evaluation, agent orchestration, document intelligence, computer vision, BI or automation.
• Cloud and observability: Experience with AWS, Databricks, Kubernetes, serverless services, infrastructure as code, OpenTelemetry, Prometheus, Grafana, Splunk, CloudWatch or feature management.
• Regulated delivery: Experience in healthcare, life sciences, GxP, validated systems or another regulated environment.

Soft Skills

• Independent ownership, sound technical judgment and disciplined production follow-through.
• Strong analytical and troubleshooting skills across frontend, API, data, integration and AI layers.
• Clear communication of design decisions, estimates, evidence, trade-offs, risks and support implications.
• Effective collaboration with product, UX, business, architecture, ML, platform, security, quality and operations teams.
• Ability to guide junior engineers and improve reusable engineering practices.

Amgen is an Equal Opportunity employer and will consider you without regard to your race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.