GenAI Engineer

Amgen; Portugal; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

AMGEN Capability Center Portugal seeks a GenAI Engineer to design, develop and deploy LLM-powered assistants, agents, and RAG solutions on enterprise platforms. You will implement prompt strategies, embeddings, and reliable retrieval, while building scalable pipelines and reusable components.

The role emphasizes security, scalable deployment, and collaboration with cross-functional teams to advance enterprise AI capabilities within AMGEN.

Qualificações

• Master's degree with 4+ years of relevant experience in Computer Science, IT, Engineering, Data Science, or related field.
• Bachelor's degree with 6+ years of relevant experience in Computer Science, IT, or related field.

Responsabilidades

• Design, develop, test, deploy LLM-powered assistants, agents, Custom GPTs, RAG solutions, APIs, and AI-enabled applications.
• Implement prompt and context strategies, structured outputs, embeddings, vector or hybrid retrieval, tool calling, workflow orchestration, and human-in-the-loop controls.
• Build scalable RAG pipelines that ground responses in trusted enterprise data.
• Contribute to GenAI capability roadmap through MCP-based Apps, ChatGPT Skills, plugins, Workspace Agents, and reusable integration patterns.
• Develop integration layers and event-driven workflows using APIs, RPA, n8n, and approved orchestration tools.
• Develop reusable Python services, libraries, templates, and evaluation utilities, and contribute TypeScript, React, or Next.js components when required by the solution.

Conhecimentos

Python

TypeScript

React

Next.js

Formação académica

Master's degree in CS/IT/Engineering

Bachelor's degree in CS/IT/Engineering

Ferramentas

OpenAI Codex

GitHub Copilot

Descrição da oferta de emprego

Career Category Information Systems Job Description 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.

GenAI Engineer

ABOUT THE ROLE

The Senior Associate Software Engineer is a hands-on software engineering contributor within the Applied AI - AI Productivity and Custom GPT Solutions Practice. The role designs, develops, tests, deploys, and supports secure, scalable, intuitive, and reusable GenAI solutions, including LLM-powered assistants, agents, Custom GPTs, retrieval-augmented generation (RAG) applications, and associated AI capabilities on approved enterprise platforms.

RESPONSIBILITIES

GenAI Solution Delivery

• Design, develop, test, and deploy LLM-powered assistants, agents, Custom GPTs, RAG solutions, APIs, and AI-enabled applications on ChatGPT Enterprise and other approved platforms.
• Implement prompt and context strategies, structured outputs, embeddings, vector or hybrid retrieval, tool calling, workflow orchestration, and human-in-the-loop controls.
• Build scalable RAG pipelines that ground responses in trusted enterprise data.
• Contribute to the GenAI capability roadmap through implementation of MCP-based Apps, ChatGPT Skills, plugins, Workspace Agents, and reusable integration patterns.
• Develop integration layers and event-driven workflows using APIs, RPA, n8n, and approved orchestration tools to connect systems and trigger agent workflows.
• Develop reusable Python services, libraries, templates, and evaluation utilities, and contribute TypeScript, React, or Next.js components when required by the solution.

Quality, Security, and Operations

• Implement automated unit, integration evaluation, and end-to-end tests, along with tracing and monitoring for retrieval quality, response consistency and reliability.
• Implement safeguards for prompt injection, data leakage, unauthorized retrieval, insecure tool execution, secrets exposure, excessive agency, and inappropriate model outputs.
• Apply secure integration and identity patterns using API gateways, OAuth, service identities, delegated authorization, role-based access control, secrets management, least privilege, and user-level auditability.
• Build and maintain CI/CD pipelines and approved cloud deployment configurations using AWS services, containers, serverless compute, or managed platform capabilities.
• Troubleshoot defects across application, model, retrieval, data, integration, and infrastructure layers; support incident investigation, remediation, rollback, patching, and performance tuning.
• Create and maintain technical designs, test evidence, runbooks, deployment instructions, and handover materials that support sustainable operations.

Collaboration and Enablement

• Partner with functional teams, product owners, architects, business SMEs, data engineers, platform teams, DevOps, cybersecurity, privacy, and responsible AI stakeholders to translate requirements into reliable solutions.
• Participate in agile planning, backlog refinement, estimation, demonstrations, retrospectives, release activities, and technical design reviews.
• Review code and technical designs, apply software engineering standards, and use AI-assisted development tools such as OpenAI Codex or GitHub Copilot with appropriate review, security, and quality controls.
• Support office hours, technical enablement sessions, junior engineers, and knowledge-sharing through reusable examples, engineering patterns, and lessons learned.
• Communicate delivery status, technical risks, dependencies, defects, and recommendations clearly to technical and non-technical stakeholders.

REQUIRED SKILLS AND QUALIFICATIONS

Basic Qualifications

• Master's degree with 4 or more years of relevant experience in Computer Science, Information Technology, Engineering, Data Science, or a related field; or
• Bachelor's degree with 6 or more years of relevant experience in Computer Science, Information Technology