AI Engineer - Lisbon Lisbon | 2 to 5 years of experience

LEADERSHIP BUSINESS CONSULTING; Lisboa; Presencial; EUR 52 000 - 75 000; Tempo integral

Resumo da oferta

Leadership Business Consulting is seeking an AI Engineer to design, develop and deploy AI solutions for clients. You will work in multidisciplinary teams to turn business requirements into reliable applications across the full lifecycle.

You will contribute to AI-enabled products, data pipelines and responsible-AI practices while collaborating in workshops, proposals and knowledge transfer. English is required; Portuguese is desirable.

Qualificações

• Bachelor's degree in Computer Science, Software Engineering, Information Systems or related field.
• Master's degree in Artificial Intelligence, Data Science, or related field is an advantage.
• Minimum 2 years of experience programming in Python with software engineering best practices.
• At least 2 years of hands-on experience in AI engineering and deployment.
• Preferably deploying solutions on Azure infrastructure with Azure AI Services.
• Experience with LLMs in application development and prompt engineering.
• Hands-on experience with RAG solution design and vector databases.
• Familiarity with LangChain, LangGraph, Semantic Kernel, or HuggingFace Transformers.
• Experience with CI/CD, containers (Docker), and Kubernetes is a plus.
• Experience with REST APIs, databases, Git, cloud environments, containerisation, testing, logging and debugging.
• Awareness of privacy, security and responsible-AI requirements.
• Good communication and collaboration skills; English required; Portuguese desirable; German a plus.

Responsabilidades

• Build AI-enabled applications using generative AI, ML, NLP, document intelligence and automation.
• Develop assistants, copilots, semantic search, and workflow-support solutions.
• Create RAG pipelines with enterprise documents and traceable sources.
• Integrate models with web apps, APIs, databases, Microsoft 365, SharePoint and client systems.
• Write clean, modular production code and participate in code reviews.
• Implement prompts, outputs, validation, and guardrails in AI systems.
• Prepare and transform data for retrieval and application development.
• Assess model accuracy, grounding, latency, cost, and reliability.
• Support secure cloud or hybrid deployment with logging and monitoring.
• Apply privacy-by-design and responsible-AI principles.
• Contribute to reusable components, standards and accelerators.
• Participate in client workshops, proposals and knowledge transfer.

Conhecimentos

Python

AI engineering

LLMs

RAG design

CI/CD

Docker

Kubernetes

REST APIs

Git

Data privacy

Formação académica

Bachelor's in CS/Software

Master's in AI/Data Science

Ferramentas

Azure

LangChain

LangGraph

Semantic Kernel

HuggingFace Transformers

Descrição da oferta de emprego

The best future is the one you imagine and create for yourself

LBC is a strategic consultancy, digital transformation and talent development company, with experience in more than 1.200 projects in 18 countries, 12 sectors and 20 multilateral entities such as the World Bank, United Nations Development Programme, European Union, African Development Bank, among others.

Your role

• Build AI-enabled applications using generative AI, machine learning, natural language processing, document intelligence and intelligent automation.
• Develop assistants, copilots, semantic search, recommendation, classification, document-analysis and workflow-support solutions
• Build RAG pipelines using enterprise documents and data, with traceable sources and appropriate access controls
• Integrate models with web applications, APIs, databases, Microsoft 365, SharePoint, ERP, CRM and client systems
• Write clean, modular, tested and documented production code; participate in code reviews and collaborative engineering practices.
• Implement prompts, structured outputs, validation, guardrails, model routing and fallback mechanisms
• Prepare and transform structured and unstructured data for retrieval, evaluation and application development
• Evaluate accuracy, relevance, groundedness, hallucination, latency, cost, robustness and reliability
• Support secure cloud, hybrid or client-managed deployment, including logging, tracing, monitoring and incident resolution
• Apply privacy-by-design, security-by-design and responsible-AI principles throughout development
• Contribute to internal LBC solutions, reusable components, technical standards, accelerators and AI-enabled products
• Participate in client workshops, demonstrations, proposals, knowledge transfer and adoption support

The AI Engineer will design, develop, integrate and deploy AI solutions for LBC’s clients and for LBC’s own transformation into an AI-powered organisation.You will work in multidisciplinary teams with AI engineers, data scientists, software developers, architects, business analysts, consultants, designers and governance specialists.This is a hands-on engineering role for someone who can turn business requirements, models and data into reliable applications. You will contribute across the full lifecycle: discovery, solution design, development, testing, deployment, monitoring and continuous improvement.

What we look for

• Bachelor's degree in Computer Science, Software Engineering, Information Systems or a related field
• Master's degree in Artificial Intelligence, Data Science, or a related field is an advantage
• Minimum 2 years of experience programming in Python, with demonstrated knowledge of software engineering best practices, including clean code, modular architecture, and version control
• At least 2 years of hands-on experience in AI engineering, with exposure to solution design and deployment
• Preferably deploying solutions on Azure infrastructure, including familiarity with Azure AI Services (Azure OpenAI, MS Foundry, Azure AI Search) and the broader Azure ecosystem
• Experience working with LLMs in application development, including prompt engineering and basic agentic workflows
• Hands-on experience with RAG solution design and deployment, including vector databases and retrieval strategies
• Familiarity with AI/LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, and/or HuggingFace Transformers
• Experience developing and maintaining CI/CD pipelines and containerization solutions (Docker; Kubernetes is a plus)
• Experience with REST APIs, databases, Git, cloud environments, containerisation, testing, logging and debugging
• Awareness of prompt injection, data leakage, access control, privacy, evaluation and responsible-AI requirements
• Basic understanding of DevOps practices and cloud-native deployment patterns
• Strong problem-solving and ownership, ability to work with ambiguity in non-deterministic AI system
• Good communication skills and ability to collaborate effectively within multidisciplinary teams
• Good English. Portuguese is highly desirable; German language is an advantage
• Experience with consulting, enterprise platforms, public-sector or regulated clients, MLOps/LLMOps, open-source models or document intelligence is valuable
• Strong junior candidates may be considered for an Associate AI Engineer role

What we provide

At LBC you'll find projects with real impact, where strategy, technology, and people intersect every day. We provide a collaborative and demanding environment that fosters continuous learning, autonomy, and professional growth, with exposure to national and international challenges. We value those who want to evolve, experiment, take responsibility, and actively contribute to creating relevant and sustainable solutions.