Python Developer - AI, SageMaker, AWS - SES

Key Responsibilities

• Design, develop, and fine‑tune prompts and pipelines for large language models (LLMs) to meet business use cases.
• Build end‑to‑end AI/ML workflows on AWS SageMaker, including data preprocessing, model training, deployment, and monitoring.
• Write production‑grade Python code and SQL queries to integrate AI services with existing financial data platforms.
• Collaborate with data scientists, product owners, and infrastructure teams to ensure scalable, secure, and cost‑effective solutions.
• Implement testing, validation, and performance‑tuning practices for AI models and associated services.

Requirements

• 8+ years of software engineering experience, preferably in financial services.
• 2–3 years of hands‑on AI/ML engineering, focusing on generative AI and LLMs.
• Strong proficiency in Python, SQL, and AWS services, especially SageMaker.
• Demonstrated ability to design, deploy, and maintain production AI pipelines.
• Excellent problem‑solving skills and ability to work onsite 2–3 days per week.