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

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!