Overview

Data ScientistPrimary SkillsData Science skill - Machine Learning, NLP, and LLMsDatabricksExperience- 5 to 8yrsSpecializationData Science Advanced: Generative AI & DatabricksJob requirementsJob Title: Senior AI Engineer – Generative AI & DatabricksExperience: 5-8+ YearsAbout the RoleWe are seeking a Senior AI Engineer with strong expertise in Generative AI (GenAI), Databricks,

Responsibilities

• Design and implement end-to-end Generative AI solutions on Databricks, leveraging Unity Catalog, MLflow, Delta Lake, and Vector Search.Architect LLM-based multi-agent frameworks for intelligent automation, chatbot systems, and document reasoning tasks.
• Integrate Cortex AI, OpenAI, or Anthropic APIs for retrieval-augmented generation (RAG), conversational reasoning, and workflow orchestration.2. Model Development & OptimizationFine-tune and evaluate LLMs and domain-specific NLP models (NER, Risk Assessment, Question Answering).
• Develop pipelines for prompt engineering, context management, model evaluation, and hallucination detection.
• Optimize inference performance, latency, and cost across multi-cloud and Databricks environments.3. Data Engineering & Governance
• Collaborate with data engineering teams to ensure clean, well-governed, and vectorized data pipelines.
• Build and maintain feature stores and embeddings stores using Databricks or Snowflake.
• Implement data validation, lineage, and monitoring using Delta Live Tables and Unity Catalog.4. MLOps & Automation
• Build reusable ML pipelines using Databricks Repos, MLflow, and Feature Store.