remote
Generative AI Developer - SS&C
AI Engineer
Develop and deploy generative AI solutions for financial and healthcare applications, leveraging Python, deep‑learning frameworks, and cloud infrastructure to create scalable, high‑performance models.
About the role
Key Responsibilities
- Design, implement, and fine‑tune generative AI models (e.g., LLMs, diffusion models) for domain‑specific use cases in finance and healthcare.
- Integrate AI services into existing enterprise platforms, ensuring security, compliance, and performance at scale.
- Collaborate with data engineers and product teams to build data pipelines, feature stores, and model serving infrastructure using Docker and cloud services.
- Conduct experiments, evaluate model quality, and iterate based on quantitative metrics and stakeholder feedback.
- Document architecture, code, and best practices, and mentor junior developers on AI development workflows.
Requirements
- 5+ years of professional software development experience with strong Python expertise.
- Hands‑on experience building and deploying deep‑learning models using TensorFlow or PyTorch.
- Proficiency with large language model frameworks and prompt engineering.
- Experience deploying AI workloads on AWS (e.g., SageMaker, ECS/EKS) and containerization with Docker.
- Solid understanding of data engineering concepts, version control, CI/CD, and software testing.
Skills
pythontensorflowpytorchawsdocker