Border creates solutions that help people and businesses stay connected

We develop innovative digital products and provide expert consulting services to prestigious clients.

We use the best tools — both open source and proprietary — and follow agile methodologies.

We believe in knowledge sharing, collaboration, and maintaining an informal, relaxed work environment where people enjoy what they do and deliver great results.

Our bright and sunny office is located by the river in Parque das Nações, Lisbon.

We’re looking for a Junior AI Engineer to join a multidisciplinary team of Full Stack Developers and AI Engineers and help build and evolve LLM-based solutions for telecom support platforms. These solutions focus on areas such as automatic ticket summarization, text correction and enrichment, and intelligent workflow assistance, leveraging Retrieval-Augmented Generation (RAG) and LLM tool-calling / MCP-based integrations.

What You’ll Do

• Support the design and implementation of AI solutions based on Large Language Models (LLMs)

• Develop and test features for text summarization, classification, correction, and enrichment

• Assist in building and improving RAG pipelines, including document retrieval and contextual grounding

• Support the integration of MCP Server tools and protocols to enable LLMs to interact with internal services and workflows

• Assist in prompt engineering, tool definition, and iterative refinement of AI outputs

• Collaborate closely with Full Stack Developers to integrate AI capabilities into backend services and applications

• Help monitor model behaviour, output quality, latency, and cost in real use cases

• Contribute to documentation, experimentation, and internal knowledge sharing

• Learn and apply best practices related to reliability, security, and responsible AI usage

What You’ll Need

• Degree in Computer Science, Engineering, Data Science, or equivalent

• Basic to intermediate programming skills in Python and/or JavaScript / TypeScript

• Interest or initial hands-on experience with LLMs (e.g. OpenAI, Azure OpenAI, Anthropic, or similar)

• Basic understanding of RAG concepts (retrieval, embeddings, context injection)

• Familiarity with APIs and service-oriented architectures

• Interest in LLM tool usage, function calling, or MCP Server-style integrations

• Pragmatic approach to problem-solving

• Good English spoken and written

• Fluent in Portuguese

• Good communication and interpersonal skills

• A proactive mindset with a focus on learning and continuous improvement

• Ability to work independently while enjoying teamwork and collaboration

Nice to Have

• Academic or personal projects involving RAG architectures or LLM tool calling

• Exposure to MCP Server tools, protocols, or agent-based workflows

• Experience with cloud-based AI and large language model platforms

• Basic knowledge of vector databases (e.g. semantic search, embeddings)

• Interest in AI evaluation, observability, or MLOps fundamentals

• Curiosity about applying AI to real-world business and operational workflows

What We Offer

• Hybrid work model (remote + office)

• Above market salary (according to experience) and productivity prizes

• A great team where you can make a difference

• Opportunity to learn with experienced engineers and AI specialists

• Culture of professional development, training, and certifications

• Strong mentorship and knowledge sharing

• Social and team building events

• Fruit, coffee, and snacks at the office

• Kitchenette for meals brought from home

• Leisure room with table tennis and snooker

• Nap room