AI Builder/Senior Software Engineer
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Role details
Tech stack
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Job description
Design, build, and maintain scalable, secure, and high performance batch and streaming data pipelines using modern data engineering practices Lead the modernization and migration of on premise data platforms to cloud native architectures, owning infrastructure, networking, security, and deployment pipelines Develop and maintain core data platform components that support reliable ingestion, transformation, enrichment, and consumption of enterprise data assets Collaborate with data domain experts across Operations, Product, Finance, Value Analytics, and other domains to understand data sources and design efficient, connected data models Ensure data accuracy, quality, relevance, and governance by implementing validation, monitoring, documentation, and security controls Analyze large datasets to identify trends, patterns, and actionable insights; perform data analysis to support analytics, AI use cases, and business strategy Enable reporting and analytics by making curated, trusted datasets available to BI and downstream consumers Partner with AI/ML Engineers and Leads to design, build, and improve machine learning models from scratch or enhance existing models Contribute to experimentation with Client ML and Generative AI architectures Help design and implement AI powered enterprise applications Analyzes and investigates, Design, develop, and maintain scalable enterprise applications and AI-powered solutions using .NET, Azure, and Generative AI technologies. Build and integrate AI capabilities such as conversational assistants, intelligent search, summarization, content generation, and workflow automation into business applications. Implement secure, reliable, and high-performing software solutions while adhering to enterprise architecture, compliance, and governance standards. Drive continuous improvement through automation, AI-assisted development practices, code quality enhancements, and operational excellence initiatives Minimum Years of Experience: 6 to 8 years Certifications Needed: None Top 3 responsibilities you would expect the Subcon to shoulder and execute: Azure Databricks PySpark Python Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may at any time. Security Notice: Our official website is We do not operate or authorize any other websites representing Diverse Lynx LLC.
Requirements
Azure Databricks, with good knowledge of Generative AI technologies, including LLMs, RAG, AI Agents, Vector Databases, and Prompt Engineering, 1+ year of experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, and Prompt Engineering. Experience developing AI-driven solutions using GitHub Copilot, Microsoft 365 Copilot, Azure AI Studio, and enterprise GenAI platforms. Experience with healthcare domain
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