AI Engineer Experience: 3–6 Years Employment Type: Contract Project Duration: 3 Months Background: Bioinformatics / Computational Biology / Life Sciences Role Summary We are looking for an AI Engineer with a Bioinformatics/Life Sciences background to develop AI-assisted data exploration capabilities over curated scientific datasets. The role will focus on applying LLM/Generative AI and natural-language querying to Bioinformatics and scientific data, with exposure to the Databricks ecosystem. Key Responsibilities • • Develop AI/GenAI capabilities for natural-language exploration of scientific and Bioinformatics datasets. • Implement NL-to-SQL use cases over curated Databricks Gold datasets. • Configure and evaluate Databricks AI/BI Genie or equivalent capabilities. • Develop prompts, semantic context and metadata to improve query accuracy. • Build Python-based AI/LLM components and integrations. • Implement appropriate guardrails, grounding and validation for AI-generated queries and responses. • Validate AI-generated SQL and results against underlying datasets. • Work with the Data Architect, Data Engineer and Bioinformatics SME to understand scientific data and user queries. • Support integration of AI capabilities with Databricks data products. • Develop test cases and evaluate AI responses for accuracy, relevance and consistency. • Support documentation, demonstrations and UAT. Must Have • • 3+ years of AI, Data engineering experience. • Strong Python and SQL skills. • Hands-on experience with LLMs / Generative AI. • Experience developing LLM-based applications or NL-to-SQL solutions. • Understanding of prompt engineering, grounding and LLM evaluation. • Bioinformatics/Life Sciences background or project experience. • Working knowledge/exposure to Databricks and modern data platforms. • Ability to work with structured scientific/analytical datasets. Preferred • • Databricks AI/BI Genie experience. • Experience with genomics, biomarker or multi-omics data. • Experience with RAG and enterprise GenAI solutions. • Exposure to AWS AI/ML services. • Databricks certification.