We are looking for an AI / RAG Engineer to design, optimize, and continuously improve Retrieval-Augmented Generation (RAG) solutions powering enterprise AI applications. The role focuses on retrieval quality, prompt engineering, evaluation frameworks, embeddings, vector search, and AI platform reliability. The ideal candidate has hands-on experience building production RAG systems, improving answer quality, reducing hallucinations, and balancing accuracy, latency, and operational cost across modern LLM-based solutions.
The customer is investing in the development of an AI-powered Executive Assistant that serves as a centralized interface for business information, analytics, and decision support. The platform will integrate with multiple internal systems and data sources to provide executives with real-time insights, automated reporting, conversational search capabilities, and AI-generated recommendations. Built on Microsoft technologies and Azure cloud services, the solution aims to improve operational visibility, accelerate decision-making, and reduce the time spent gathering and analyzing business data.
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At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.