Match Profiler is an Information Systems consultancy with over 25 years of experience in the national and international technology market.
We believe in challenging and motivating projects, driven by multidisciplinary and agile teams - and we are looking for those who want to grow with us.
With a close-knit approach, we develop solutions that drive business growth with innovation, trust and security.
If you aspire to a career that challenges you daily and allows you to make a real impact - this opportunity is for you.
We are currently strengthening the team of one of our clients with the following profile:
AI Solution Expert / AI Developer (Senior) | Hybrid (1x/month in Lisbon)
What we are looking for
Senior AI Solution Expert / AI Developer focused on designing, implementing, and enabling AI capabilities that support business use cases. The role translates business needs and data sources into secure, scalable, reusable, and governed AI solutions, with a strong focus on LLMs, RAG, semantic search, document intelligence, and Azure AI services.
Key Responsibilities
- Translate business requirements into AI solution concepts, prototypes, MVPs, and reusable capabilities.
- Design and implement AI solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML, Document Intelligence, Cosmos DB, Azure Functions, APIs, and related cloud services.
- Develop LLM-based and RAG solutions, including prompt engineering, embeddings, indexing, knowledge ingestion, semantic search, grounding, traceability, evaluation, and answer validation.
- Support the full AI use case lifecycle, from discovery and feasibility assessment to implementation, deployment readiness, monitoring, and reusable solution creation.
- Enable and guide product teams on integrating AI capabilities into applications and business processes.
Required Experience & Skills
- Strong hands-on experience as AI Solution Expert, AI Developer, AI Engineer, Solution Architect, or similar role.
- Practical experience with LLMs, embeddings, indexing, RAG architectures, semantic retrieval, prompt engineering, document intelligence, AI evaluation, APIs, and cloud-native AI development.
- Experience building reusable AI components, knowledge ingestion pipelines, orchestration layers, MCP/API integrations, and evaluation mechanisms.
- Solid understanding of enterprise architecture, security, scalability, observability, governance, responsible AI, data protection, and cost optimization.
- Ability to advise and coach development and product teams on AI feasibility, architecture decisions, technical trade-offs, governance, and production readiness.
- Experience with GitHub Copilot and AI-assisted development tools is valued.
- Business-fluent English (spoken and written) is mandatory.
Preferred Experience
- RAG systems, vector databases, semantic search, embeddings, chunking strategies, knowledge ingestion, grounding, traceability, answer validation, and AI quality evaluation.
- AI architecture design, technical decision matrices, cost modelling, operational risk assessment, and scalable AI delivery frameworks.
- Knowledge graphs, semantic models, and domain reasoning.
- Good communication
- Team spirit
- Proactivity
- Time management
What we have to offer
- Careful onboarding and close support from day one
- Continuous feedback aligned with your professional goals
- An accessible and collaborative team ready to support each individual's journey
- A close-knit environment where idea sharing and personal development are valued
- Access to a network of partnerships offering exclusive discounts on health, wellness, travel, culture, gastronomy, leisure and much more
- Social events and initiatives that strengthen team spirit