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Job Description Our client, a leading healthcare technology company transforming how medical practices operate across the U.S. through AI-driven solutions, is seeking a Principal Engineer focused on AI and Data Engineering. The team develops advanced platforms including electronic health records, revenue cycle management, and patient engagement tools, with a strong focus on integrating GenAI, LLMs, and scalable cloud infrastructure. This is a unique opportunity to take on a high-impact leadership role within an organization applying cutting-edge AI to improve healthcare outcomes. You will work on retrieval-augmented generation, fine-tuning LLMs, and deploying AI-powered microservices in production. The company seeks someone passionate about building scalable AI systems, collaborating across teams, and leading large-scale data engineering projects. Contract Duration: 3 months, with potential to hire Location:

Hybrid (1 day onsite per week) Required Skills & Experience 12+ years in software engineering, AI / ML development (senior level engineer / architect) Hands-on experience with Agile development, SDLC, CI / CD pipelines, and AI model deployments Full-stack AI development experience (Python, OpenAI, APIs, LLMs, cloud platforms such as AWS Lambda) Experience with GPT deployment Database knowledge (Postgres, Vector databases) Experience with RAGs Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (Redis, Elasticsearch, OpenSearch) Experience with Azure Desired Skills & Experience BSc in Computer Science, Engineering, or Data Science Tech Breakdown 35% AI / ML Development & GenAI Frameworks (Python, OpenAI APIs, LangChain, Hugging Face, LLMs, RAGs) 25% Cloud & Infrastructure (AWS Lambda, SageMaker, ECS, Azure OpenAI, ML Studio) 20% Data Engineering & Databases (PostgreSQL, MySQL, Redis, Elasticsearch, FAISS, Pinecone, ChromaDB) 20% Full-Stack Engineering & API / Microservices (Java, Microservices, API integration, CI / CD, SDLC) Daily Responsibilities 70% Hands-on development 10% Management duties

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