Summary
Join a multidisciplinary engineering and consulting environment to design, build, integrate, and deploy production-grade AI solutions. You will develop generative AI applications, assistants, semantic search, automation, and RAG systems; connect models to enterprise platforms and data; implement evaluation, guardrails, observability, and responsible-AI controls; and support solutions throughout their lifecycle. The role requires at least two years of Python and hands-on AI engineering experience, with strong knowledge of LLM applications, retrieval systems, APIs, cloud deployment, containers, and collaborative software practices.
Highlights
Hands-on AI engineering role with measurable client and public-sector impact, international project exposure, multidisciplinary collaboration, reusable product development, continuous learning, and a clear technical career path.
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 solutionsBuild RAG pipelines using enterprise documents and data, with traceable sources and appropriate access controlsIntegrate models with web applications, APIs, databases, Microsoft 365, SharePoint, ERP, CRM and client systemsWrite 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 mechanismsPrepare and transform structured and unstructured data for retrieval, evaluation and application developmentEvaluate accuracy, relevance, groundedness, hallucination, latency, cost, robustness and reliabilitySupport secure cloud, hybrid or client-managed deployment, including logging, tracing, monitoring and incident resolutionApply privacy-by-design, security-by-design and responsible-AI principles throughout developmentContribute to internal LBC solutions, reusable components, technical standards, accelerators and AI-enabled productsParticipate 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 fieldMaster's degree in Artificial Intelligence, Data Science, or a related field is an advantageMinimum 2 years of experience programming in Python, with demonstrated knowledge of software engineering best practices, including clean code, modular architecture, and version controlAt least 2 years of hands-on experience in AI engineering, with exposure to solution design and deploymentPreferably deploying solutions on Azure infrastructure, including familiarity with Azure AI Services (Azure OpenAI, MS Foundry, Azure AI Search) and the broader Azure ecosystemExperience working with LLMs in application development, including prompt engineering and basic agentic workflowsHands-on experience with RAG solution design and deployment, including vector databases and retrieval strategiesFamiliarity with AI/LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, and/or HuggingFace TransformersExperience 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 debuggingAwareness of prompt injection, data leakage, access control, privacy, evaluation and responsible-AI requirementsBasic understanding of DevOps practices and cloud-native deployment patternsStrong problem-solving and ownership, ability to work with ambiguity in non-deterministic AI systemGood communication skills and ability to collaborate effectively within multidisciplinary teamsGood English.
Portuguese is highly desirable; German language is an advantageExperience with consulting, enterprise platforms, public-sector or regulated clients, MLOps/LLMOps, open-source models or document intelligence is valuableStrong 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 impactWork at the intersection of AI, software, data, strategy and business transformationExposure to international projects across Europe, Africa and other marketsCollaboration with consultants, architects, designers, developers and data specialistsOpportunities to work on client-facing solutions, internal LBC use cases, products and acceleratorsA clear technical career path and continuous learning in a rapidly evolving fieldThe opportunity to help shape LBC’s AI engineering standards and culture
Ready to help LBC turn AI into measurable impact?
