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AI​/ML Engineer; Python

Job in Addison, Dallas County, Texas, 75001, USA
Listing for: OrthoMed Anesthesia
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Engineer (Python)

Location:
Addison, TX | On-site, 5 days/week

Type:
Full-time

About the Role

We are seeking a hands‑on AI/ML Engineer to define how AI is built, evaluated, and operated across our portfolio. You will own the technical depth of our AI capability — LLM applications, classical ML, and emerging agentic patterns — in production, at scale, in a regulated environment.

This is a senior IC role for an engineer who wants to build, not just advise.

What You’ll Do
  • Design and build production AI/ML systems — LLM applications, classical ML, and emerging agentic patterns
  • Own the full lifecycle: data preparation, model selection, fine‑tuning/prompt engineering, evaluation, deployment, and monitoring
  • Build evaluation frameworks and safety guardrails for LLM-based systems handling sensitive data
  • Partner with Data, Engineering, and Security teams to architect AI workloads that meet HIPAA and SOC 2 standards
  • Contribute to our AI architecture and platform decisions: model gateways, vector stores, RAG patterns, agent frameworks
What We’re Looking For
  • 6+ years of Python engineering; 3+ years building production ML or LLM systems
  • Deep hands‑on experience with at least one major LLM provider (Azure OpenAI, Anthropic, AWS Bedrock) and frameworks such as Lang Chain, Llama Index, Lang Graph, or equivalent
  • Strong foundation in ML evaluation, prompt engineering, RAG, fine‑tuning, and model observability
  • Experience deploying models on cloud infrastructure; MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar)
  • Healthcare or regulated‑industry experience strongly preferred; familiarity with HIPAA technical safeguards required
  • Pragmatic engineer who can scope, ship, and measure — not a research‑only profile
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