AI Engineer

AI Engineer

NEORIS is a digital accelerator that helps companies enter the future, having 20 years of experience as digital partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for AI Engineer Senior AI Engineers to work in the development of intelligent, scalable search and recommendation features across a learning platform. This role focuses on combining AI capabilities, vector-based search, and deep integration with Elasticsearch/OpenSearch, while leveraging both Python and .NET to build backend services that power personalized learning paths, semantic search, and image-based search.

Key Responsibilities

• Develop and implement Elasticsearch/OpenSearch-based solutions for large-scale, high-performance search systems.
• Build and integrate vector search capabilities for advanced use cases like semantic recommendations and image similarity.
• Collaborate on AI/ML model integration, including deploying and fine-tuning LLMs (currently Llama 4.0) for personalized learning journeys.
• Develop robust, production-ready backend services using both Python and .NET, ensuring seamless AI and data pipeline integration.
• Translate complex search and recommendation requirements into scalable, high-performing solutions.

Required Skills & Experience

• 5+ years in AI Engineering, Search Engineering, or Machine Learning roles.
• Strong experience with Elasticsearch or OpenSearch for building scalable and flexible search systems.
• Solid programming skills in both: Python – for AI/ML workflows, data processing, and integration with LLMs. .NET (C#) – for backend APIs and system orchestration.
• Hands-on experience with LLM-based solutions (e.g., Llama 4.0), embeddings, and personalization models.
• Proficiency in vector search, semantic similarity, and embedding model integration.
• Experience with data pipelines, model serving, and ML infrastructure.
• Nice to Have
• Experience with FAISS, Weaviate, or other vector databases.
• Familiarity with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of image recognition models and image-to-vector processing.
• Cloud experience (AWS/GCP/Azure), especially with scalable AI workloads.
• Prior experience in edtech, search, or personalized content delivery systems.

We offer:

• Legal and higher benefits
• Excellent work environment
• Nominal Registration
• Constant development and growth