AI Engineer

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
- 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