LLM engineer

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. 

Key Responsibilities: 

• 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.  

Required Qualifications & Skills: 

• Bachelor's or master's degree in computer science, AI/ML, Data Science, or related field. 

• Hands-on experience with LLMs (OpenAI, Anthropic, Cohere, or similar). 

• Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS. 

• Strong understanding of embeddings, semantic search, and their practical applications. 

• Expertise in RAG pipelines, Agents, and Workflow orchestration. 

• Proficiency in Python and relevant AI/ML frameworks (LangChain, HuggingFace, PyTorch, TensorFlow). 

• Familiarity with NL-to-SQL systems and natural language query processing. 

• Experience working with structured and unstructured data sources. 

• Knowledge of data pipelines, preprocessing, and storage formats for analytics. 

• Ability to design scalable, production-ready AI solutions integrated with web applications. 

Preferred Qualifications: 

• Experience working with AI based chatbots, Natural language search, NL to SQL. 

• Knowledge of prompt engineering and fine-tuning LLMs. 

• Familiarity with data privacy, security, and compliance considerations in AI pipelines. 

Soft Skills: 

• 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.