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Applied AI/ML Lead Software Engineer - LLM Suite - JPMorganChase
Software Engineer
Lead the design and delivery of production‑grade AI/ML and agentic solutions for an LLM Suite platform, driving architecture, scalability, and integration with cloud and container technologies.
About the role
Key Responsibilities
- Architect, develop, and ship end‑to‑end generative AI and agentic features for the LLM Suite platform.
- Own the full lifecycle of AI/ML services, from model selection and training to deployment, monitoring, and continuous improvement.
- Collaborate with cross‑functional teams to integrate AI capabilities into existing enterprise systems while ensuring security and compliance.
- Define and enforce best practices for CI/CD pipelines, containerization, and orchestration using Docker and Kubernetes.
- Mentor engineering peers, conduct code reviews, and champion a culture of high‑quality, production‑ready software.
Requirements
- 5+ years of software engineering experience with a strong focus on AI/ML, preferably in large‑scale, cloud‑native environments.
- Proficiency in Python and deep‑learning frameworks such as PyTorch or TensorFlow.
- Hands‑on experience building, deploying, and scaling LLM‑based applications using tools like LangChain.
- Solid understanding of container orchestration (Kubernetes) and cloud platforms (AWS).
- Demonstrated ability to translate ambiguous problems into reliable, production‑grade solutions.
Skills
pythonpytorchtensorflowkubernetesawslangchaindocker