Jobs via Dice

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, Azure, Python/PySpark, Java, and UI development with React/Angular. Healthcare industry knowledge and experience with knowledge graphs are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
September 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Programming #AI (Artificial Intelligence) #Monitoring #Cloud #Azure cloud #Neo4J #Knowledge Graph #Python #ML (Machine Learning) #Compliance #JavaScript #Azure #PySpark #Agile #Angular #React #HTML (Hypertext Markup Language) #Spark (Apache Spark) #Security #Observability #Java #Deployment
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 Interviews: 2 rounds Top Requirements: • Implemented GraphRag in AI/ML products (production deployments). • Strong Azure cloud experience. • Python/PySpark, Java programming. • Experience building UI with React/Angular, HTML, CSS, JavaScript. • Knowledge graph implementation (Neo4j preferred). LLM optimization & improved response handling. Responsibilities: • Design, develop, and deploy Decision Intelligence & AI-enabled products. • Work in Agile teams with engineers, scientists, product managers. • Guide architecture, infrastructure, and tools for AI/ML products. • Develop rapid prototypes and scale solutions in production. • Build MLOps pipelines for structured/unstructured data. • Implement observability, monitoring, and compliance with HIPAA/security standards. • Mentor engineers and drive innovation. Preferred Skills: • Contributions to open-source AI/ML projects. • Healthcare industry knowledge. • Experience with medical terminology & clinical workflows.