AI Engineer

Visor

Portugal

Presencial

EUR 40 000 - 60 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Competitive compensation package
Health insurance
Career growth opportunities
Access to training, events, and conferences
Remote First model with office perks
Arcade machines
Rooftop terraces
Team events
Fun workplace

Resumo da oferta

A leading AI company in Portugal seeks an AI Engineer to design and advance AI systems for their platform. You will work on end-to-end NLP pipelines and LLM architectures, optimizing AI interactions. Ideal candidates have experience in Data Science, strong Python skills, and familiarity with ML libraries and frameworks. The position offers competitive compensation, health insurance, and career growth opportunities. Join a dynamic team dedicated to innovating AI solutions.

Qualificações

  • 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.
  • Experience building and delivering ML products in production environments.
  • Experience deploying ML products in production.
  • Hands-on experience with LLMs in production.
  • Familiarity with RAG pipelines and vector databases.
  • Understanding of context window management and prompt design.
  • Experience with LLM observability and monitoring.
  • Experience with LangChain, LlamaIndex, or Hugging Face Transformers.

Responsabilidades

  • Design and develop end-to-end NLP pipelines.
  • Build and maintain systems for intent detection and entity extraction.
  • Integrate AI components into scalable microservices.
  • Work with embedding models for semantic search and document retrieval in contact centers.
  • Design and implement agentic architectures with tool use and multi-step reasoning.
  • Develop memory and context management for multi-turn conversations.
  • Evaluate models with hallucination checks, faithfulness scoring, and latency considerations.
  • Integrate AI components into scalable, production-ready microservices with low latency.
  • Collaborate with product and engineering to design AI-powered features.

Conhecimentos

Programming skills in Python
Experience with core Data Science & ML libraries
Solid understanding of NLP fundamentals
Hands-on experience with LLMs in production
Experience with vector databases
Gensim
LLMs in production
RAG pipelines
Vector databases
LangChain
LlamaIndex
Hugging Face Transformers
NLP fundamentals
Embeddings
Information extraction
NER
Intent classification

Ferramentas

Pandas
scikit-learn
NLTK
spaCy
Gensim

Descrição da oferta de emprego

Join Visor.ai as an AI Engineer!

At Visor.ai, we’re on a mission to revolutionize AI and automation for Contact Centers. By humanizing AI Agents, we help companies automate up to 85% of customer interactions, enhancing efficiency without compromising experience.

Founded in 2016 with big dreams and an innovation award, we've since grown into a trusted AI partner for leading brands across multiple industries and countries. Now, we're looking for a Data Scientist to join our AI Team and help us build the next generation of our intelligent platform!

Your Mission

As an AI Engineer, you'll play a critical role in designing and advancing the AI systems that power our platform. From classical NLP to cutting‑edge LLM architectures, you'll shape the intelligence behind every conversation. Your responsibilities will include:

  • 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
Your Skills & Experience
  • 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)
What’s in It for You?
  • 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!

Ready to build the future of AI with us? Apply now and join the ride! 💪

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