AI Engineer

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Visor.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

🤝 B2B

💳 Fintech

Artificial Intelligence • B2B • Fintech

Visor. ai is a forward-thinking company on a mission to revolutionize customer interactions through cutting-edge AI-powered solutions. Based in Lisbon, Portugal, and championing a remote-first work culture, Visor. ai serves clients across various sectors including Banking, Insurance, Utilities, and Public Sector. They emphasize values such as diversity, equality, and inclusion, and are committed to providing exceptional career opportunities to candidates from all backgrounds.

📋 Description

• Design and develop end-to-end NLP pipelines — from classical text processing to state-of-the-art LLM-powered architectures • Build and maintain systems for intent detection, NER, entity extraction, and text classification, both standalone and as components feeding into larger LLM workflows • Design and optimize Retrieval-Augmented Generation (RAG) systems — chunking strategies, vector store architecture, hybrid search (dense + sparse), and re-ranking pipelines • Work with embedding models for semantic search, document retrieval, and intent classification in contact center contexts • Design and implement agentic architectures — tool use, function calling, multi-step reasoning, and orchestration with frameworks like LangChain, LlamaIndex, or custom-built solutions • Develop memory and context management strategies — short-term conversation memory, long-term user context, and context window optimization for multi-turn interactions • Evaluate and benchmark models rigorously: hallucination detection, faithfulness scoring, latency/token cost tradeoffs, and continuous performance monitoring • Integrate AI components into scalable, production-ready microservices with a focus on low-latency inference pipelines • Collaborate with product and engineering to design new AI-powered features and drive innovation across the platform

🎯 Requirements

• 1-3 years of experience in a Data Science, AI or NLP Engineer role • Strong programming skills in Python and core Data Science & ML libraries (Pandas, scikit-learn, NLTK, spaCy, Gensim) • Solid understanding of NLP fundamentals — word embeddings, NER, information extraction, intent classification, text similarity • Experience building and delivering ML products in production environments • Hands-on experience with LLMs in production (OpenAI, Anthropic, Mistral, LLaMA, Gemini, or equivalent) • Familiarity with RAG pipelines • Experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector, etc.) and modern embedding models • Understanding of context window management, token budgeting, and prompt design for multi-turn conversations • Experience with LLM Observability and Monitoring • Experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers • Bonus: Experience with agentic frameworks, function calling, or structured outputs • Exposure to voice AI pipelines or speech-to-text systems • Comfortable with cloud infrastructure and ML deployment (AWS, GCP, or Azure)

🏖️ Benefits

• Competitive compensation package • Health insurance • Career growth opportunities • Access to training, events, and conferences • Remote First model – and if you stop by one of our offices, get ready for: • Free coffee | Arcade machines | Rooftops & terraces | Team events | A lot of fun!