Full-Stack Engineer, AI Studio

Amgen SA; Lisboa; Presencial; EUR 48 000 - 68 000; Tempo integral

Resumo da oferta

AMGEN Capability Center Portugal in Lisbon is seeking a Full-Stack Software Engineer for the AI Studio to own defined production components and vertical slices.

You will work across data, AI, automation and enterprise deployment, applying modern JavaScript/TypeScript, Python, and cloud practices to deliver scalable AI-powered solutions. Emphasis on security, observability, and Responsible AI guides every delivery.

Qualificações

• Master’s degree in CS/IT or related field.
• Bachelor’s degree in CS/IT or related field.
• Diploma in CS/IT or related field.
• Strong hands-on proficiency in JavaScript/TypeScript and backend languages (Python/Java/C#/Node.js) with SQL.
• Ownership of at least one production frontend, backend, API, data, integration, automation or AI-enabled component.

Responsabilidades

• Define component boundaries with product, UX, business, domain, architecture and engineering partners.
• Design and implement accessible UI components with secure sessions and responsive behavior.
• Build APIs, services, data models, migrations and queues using modern stacks.
• Integrate model inference, LLMs, vector search and RAG into AI-enabled apps.
• Apply security, privacy, and governance across development lifecycle with observability.

Conhecimentos

Full-stack engineering

Frontend development

Backend development

API design

Testing & reliability

Security & compliance

Collaboration across teams

Formação académica

Master’s degree in CS/IT or related

Bachelor’s degree in CS/IT or related

Diploma in CS/IT or related

Ferramentas

JavaScript

TypeScript

Python

Java

C#

Node.js

SQL

Cloud & CI/CD

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

TheFull-Stack Software Engineerroleoffers 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 toidentifythe 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.

You will translate well-scoped requirements into reliable software, diagnose moderately complex issues across layers, connectcomponentmeasures to user and workflow outcomes and coordinate with adjacent teams so thecomponentis secure, accessible, supportable and production ready. 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,observabilityand lifecycle operations.

Roles & Responsibilities

• Define thecomponentboundary with product, UX, business, domain,architectureand engineering partners; clarify intended use, acceptance criteria, non-functional requirements, user outcome, supportexpectationsand 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,eventsand 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, humancontroland component-level evaluation.

• Implement layered unit, integration, API, contract, UI, accessibility, performance, security,dataand AI-evaluation tests and use evidence to diagnose moderate cross-layer failures.

• Use cloud services, containers, CI/CD, infrastructure as code whereappropriate, feature flags, backward-compatible deployment, monitoring,rollbackand incident practices.

• Define andmaintainindicators for availability, latency, errors, frontendbehavior, database performance, data freshness, AI quality, user experience, operatingcostand support health.

• Apply identity, least privilege, OWASP, privacy, Responsible AI, accessibility, validation,traceabilityandGxPcontrols; 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,ITor related field experience OR

• Bachelor’s degree and 6 to 8 years of Computer Science,ITor related field experience OR

• Diploma and 9 to 10 years of Computer Science,ITor related field experience

Functional Skills

• Full-stack product engineering: Independent design, implementation, diagnosis and maintenance of a coherent frontend-to-backend productioncomponentor vertical slice.

• Backend, API,dataand distributed systems: Versioned contracts, validation, authentication and authorization, caching, concurrency, queues, events, transactions, retries, idempotency, observability,persistenceand 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,cloudand lifecycle reliability: Layered testing, source-control discipline, technical documentation, containers, CI/CD, configuration, versioning, monitoring, rollback, incident response, root-causeanalysisand support.

• Security, ResponsibleAIandGxP: OAuth/OIDC, role-based access, least privilege, secrets, OWASP, privacy, threat awareness, prompt-injection safeguards, auditability, accessibility,validationand quality evidence.

Must-Have Skills

• Demonstrated ownership of at least one production frontend, backend, API, data, integration,automationor AI-enabledcomponent.

• Strong hands-onproficiencyin 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 andmaintaina defined production slice with limited guidance.

Good-to-Have Skills

• Advanced frontend engineering: Experience with Next.jsrenderingpatterns, reusable design systems, browser telemetry, frontend performance, complex data-intensiveinterfacesor accessible human-AI review workflows.

• Distributed services and integration: Experience withGraphQL, WebSocket, Kafka or other event platforms, durable workflows, outbox or saga patterns, stream processing, API gateways, graph/vectorstoresor 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,BIor 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 technicaljudgmentand disciplined production follow-through.

• Strong analytical and troubleshooting skills across frontend, API, data,integrationand AI layers.

• Clear communication of design decisions, estimates, evidence, trade-offs,risksand support implications.

• Effective collaboration with product, UX, business, architecture, ML, platform, security,qualityand operations teams.

• Ability to guide junior engineers and improve reusable engineering practices.

EQUAL OPPORTUNITY STATEMENT

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 toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.