Role overview
About the Role:
Master works is looking for an experienced LLM Engineer to join our team working on next-generation AI-driven analytics solutions. The ideal candidate will design and implement natural language search, semantic search solutions, and generative AI features for our web applications. You will work hands-on with advanced language models, vector databases, RAG pipelines, and build intelligent workflows to enable actionable insights from both structured and unstructured data.
What you'll work on
- Develop and maintain natural language search capabilities and semantic search solutions using vector databases.
- Implement NL-to-SQL pipelines and other intelligent query generation features for analytics platforms.
- Build and optimize Generative AI features (summarization, recommendations, insights) for analytics applications.
- Design and implement Agents and Workflows for complex tasks across datasets.
- Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge retrieval and query resolution.
- Create embeddings for structured and unstructured data and leverage them for semantic understanding and search.
- Process and transform structured (tables, CSV, SQL) and unstructured data (text, documents, logs) as input/output for AI models.
- Collaborate with data engineers, analysts, and product teams to integrate AI features seamlessly into the platform.
- Evaluate, benchmark, and optimize LLM performance for real-world analytics use cases.
What we're looking for
- Strong problem-solving and analytical skills.
- Excellent communication skills to work with cross-functional teams.
- Passion for AI and staying up to date with the latest developments in LLMs and generative AI.
Tags & focus areas
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