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.
