AI Engineer - Lisbon

LBC; Lisboa; On-site; EUR 42,000 - 64,000; Full time

Job summary

LBC is a strategic consultancy focused on AI-driven transformation, delivering projects across multiple sectors. The AI Engineer will design, develop, integrate and deploy AI solutions for clients and LBC's internal AI-powered transformation.

You will work in multidisciplinary teams to turn business requirements into reliable applications, covering discovery through deployment and continuous improvement. You will collaborate with AI engineers, data scientists, software developers and governance

Qualifications

• Bachelor's degree in CS/SE or related field.
• 2+ years programming in Python with best practices.
• 2+ years AI engineering experience including design and deployment.
• Experience deploying on Azure and familiarity with Azure AI Services.
• Experience with LLMs, prompts and agentic workflows.
• Hands-on RAG design with vector databases and retrieval strategies.
• Familiarity with LangChain, Semantic Kernel or HuggingFace Transformers.
• CI/CD pipelines and containerization (Docker; Kubernetes a plus).
• Experience with REST APIs, databases, Git and cloud environments.
• Awareness of privacy, security and responsible-AI requirements.
• Good English; Portuguese desirable; German a plus.

Responsibilities

• Build AI-enabled applications using generative AI, ML, NLP and document intelligence.
• Develop assistants, copilots, semantic search, recommendation and classification.
• Create RAG pipelines with traceable sources and access controls.
• Integrate models with web apps, APIs, databases, M365, SharePoint and CRM.
• Write clean, modular production code and participate in code reviews.
• Implement prompts, guardrails, routing and fallback mechanisms.
• Prepare data for retrieval, evaluation and application development.
• Evaluate accuracy, latency, cost and reliability.
• Support secure cloud/hybrid deployment with monitoring and incident resolution.
• Apply privacy-by-design and responsible-AI principles throughout development.
• Contribute to internal accelerators, standards and AI products.
• Participate in client workshops, demos, proposals and knowledge transfer.

Skills

Python programming

AI engineering

LLM development

RAG design

Azure AI

LangChain

CI/CD pipelines

Docker

Kubernetes

REST APIs

Git

Prompt engineering

DevOps basics

English

Portuguese

Education

Bachelor's degree in Computer Science

Master's in Artificial Intelligence

Tools

Azure AI Services

LangChain

Docker

Kubernetes

HuggingFace Transformers

REST APIs

Git

CI/CD

Job description

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

• The opportunity to develop practical AI solutions with measurable client and public-sector impact.
• Work at the intersection of AI, software, data, strategy and business transformation.
• Exposure to international projects across Europe, Africa and other markets.
• Collaboration with consultants, architects, designers, developers and data specialists.
• Opportunities to work on client-facing solutions, internal LBC use cases, products and accelerators.
• A clear technical career path and continuous learning in a rapidly evolving field.
• The opportunity to help shape LBC’s AI engineering standards and culture.