AI Engineer

Visor.ai

AI Engineer developing end-to-end NLP pipelines and LLM architectures for automation in contact centers. Collaborating with teams to innovate and enhance AI platform capabilities.

Posted 7/24/2026full-timeRemote • 🇵🇹 PortugalJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing NLP pipelines, including intent detection, NER, and text classification, while leveraging LLMs and RAG systems for innovative AI solutions. Proficient in integrating AI components into scalable microservices with a focus on performance monitoring and low-latency inference.

Highest-signal resume keywords

NLP Pipeline DevelopmentPython ProgrammingLLM Frameworks (LangChain, LlamaIndex)Vector Databases (Pinecone, Weaviate)ML Product Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Natural Language ProcessingMachine LearningIntent ClassificationEntity ExtractionText ClassificationWord EmbeddingsRAG SystemsContext ManagementToken BudgetingPrompt Design

Tools & Technologies

PandasScikit-learnNLTKSpaCyGensimOpenAIAnthropicMistralAWSGCP

Industry Keywords

AIData ScienceNLP EngineeringVoice AISpeech-to-Text

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformMicroservicesPandasPythonScikit-Learn

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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!