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Applied AI ML Software Engineer III - LLM Suite Engineering - JPMorganChase
Software Engineer
Senior Applied AI ML Engineer focused on building secure, production‑ready LLM and agentic capabilities on a cloud‑native platform, leveraging Python, PyTorch, AWS, and modern DevOps practices.
About the role
Key Responsibilities
- Design, develop, and maintain high‑performance LLM and agentic services using Python and PyTorch on AWS.
- Implement secure, scalable pipelines for data ingestion, model training, and inference with Docker and CI/CD workflows.
- Collaborate with senior engineers on architecture reviews, performance tuning, and reliability best practices.
- Integrate NLP models into production workflows, ensuring compliance with security and regulatory standards.
- Iterate rapidly on feature prototypes, gather feedback, and refine solutions for end‑user impact.
Requirements
- 5+ years of software engineering experience in AI/ML, with a strong background in LLMs and NLP.
- Proficiency in Python, PyTorch/TensorFlow, and cloud services (AWS).
- Hands‑on experience with Docker, Kubernetes, and CI/CD pipelines.
- Solid understanding of secure software design, data privacy, and compliance in financial services.
- Excellent problem‑solving skills and ability to communicate complex ideas to cross‑functional teams.
Skills
pythonpytorchllmawsdockercicdnlp