AI Engineer -Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with a 6+ month remote contract, offering expertise in GraphRag implementations, Azure cloud, Python/PySpark, and UI development with React/Angular. Knowledge of healthcare and LLM optimization is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 20, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Houston, TX
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🧠 - Skills detailed
#Neo4J #Deployment #Cloud #Java #Angular #Spark (Apache Spark) #Python #Azure cloud #Programming #PySpark #AI (Artificial Intelligence) #Compliance #Knowledge Graph #ML (Machine Learning) #Agile #Monitoring #JavaScript #React #HTML (Hypertext Markup Language) #Security #Azure #Observability
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Nava Software Solutions, is seeking the following. Apply via Dice today! NAVA Software is looking for an AI Engineer Details: AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: β€’ Implemented GraphRag in AI/ML products (production deployments). β€’ Strong Azure cloud experience. β€’ Python/PySpark, Java programming. β€’ Experience building UI with React/Angular, HTML, CSS, JavaScript. β€’ Knowledge graph implementation (Neo4j preferred). β€’ LLM optimization & improved response handling. Responsibilities: β€’ Design, develop, and deploy Decision Intelligence & AI-enabled products. β€’ Work in Agile teams with engineers, scientists, product managers. β€’ Guide architecture, infrastructure, and tools for AI/ML products. β€’ Develop rapid prototypes and scale solutions in production. β€’ Build MLOps pipelines for structured/unstructured data. β€’ Implement observability, monitoring, and compliance with HIPAA/security standards. β€’ Mentor engineers and drive innovation. Preferred Skills: β€’ Contributions to open-source AI/ML projects. β€’ Healthcare industry knowledge. β€’ Experience with medical terminology & clinical workflows.