AI Engineer
Summary
Build and deploy production-grade generative AI and ML solutions for a healthcare performance organization using RAG, LLMs, and MLOps on Azure.
? Hiring: AI Engineer | Dallas, TX (Hybrid) | Contract, W2 preferred
Not another "build a chatbot" AI role. This one's for engineers who've actually shipped Generative AI to production -- not just demoed it in a notebook.
We're hiring an AI Engineer to build and deploy real, production-grade GenAI and ML solutions for a major healthcare performance improvement organization. If you've built RAG pipelines, deployed LLM-powered apps, and know what it takes to keep a model reliable in production -- this is your kind of problem.
? Rate: Up to $80/hr W2 | Up to $93/hr C2C
? What you'll actually be doing:
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Building and integrating LLM/GenAI solutions into enterprise applications
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Implementing RAG, prompt engineering, vector databases, and AI agent frameworks
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Deploying and monitoring models on Azure AI (or comparable cloud AI platforms)
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Running real MLOps -- versioning, CI/CD, evaluation, production monitoring
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Containerizing/orchestrating AI workloads with Docker and Kubernetes
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Working across SQL and enterprise data to power AI/ML pipelines
? What you bring:
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5+ years in software engineering, ML, or AI
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3+ years shipping AI/ML solutions to production (this is the real filter -- POCs don't count)
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Strong Python chops and hands-on LLM/GenAI experience
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Comfort with cloud AI services, containers, and MLOps practices
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Bachelor's in CS, AI, Data Science, Engineering, or related field (Master's a plus)
? Dallas, TX -- hybrid, onsite Tuesday/Wednesday/Thursday
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