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Senior AI Engineer - JD Power
AI Engineer
Senior AI Engineer leading end‑to‑end design, deployment, and monitoring of production‑grade generative AI solutions using Python, PyTorch, and AWS, with deep expertise in LLM integration and MLOps pipelines.
About the role
Key Responsibilities
- Design, build, and operate scalable generative AI systems that power core products and analytics workflows.
- Integrate large language models with modern data platforms, ensuring robust data pipelines and model serving.
- Own end‑to‑end lifecycle: architecture, experimentation, deployment, monitoring, and continuous improvement.
- Collaborate with cross‑functional teams to translate business requirements into AI solutions and measurable outcomes.
- Implement MLOps best practices using Docker, Kubernetes, and AWS services for reliable, reproducible deployments.
Requirements
- 5+ years of experience building production‑grade AI/ML systems, preferably in generative AI.
- Proficiency in Python, PyTorch/TensorFlow, and large language model frameworks.
- Strong background in MLOps, containerization, and cloud infrastructure (AWS preferred).
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
- Experience with prompt engineering, model fine‑tuning, and performance monitoring.
Skills
pythonpytorchmlopsaws