Python Developer - Generative AI, SageMaker, AWS - SES

Key Responsibilities

• Design, develop, and fine‑tune prompts and pipelines for large language models (LLMs) using SageMaker.
• Implement end‑to‑end AI/ML workflows in Python, integrating data from AWS data services and relational databases.
• Collaborate with data scientists and product owners to translate business requirements into scalable AI solutions.
• Write robust, testable code, conduct unit and integration testing, and maintain CI/CD pipelines on AWS.
• Monitor model performance in production, troubleshoot issues, and iterate on model improvements.

Requirements

• 8+ years of software engineering experience, preferably in financial services.
• 2–3 years of hands‑on AI/ML engineering, with a focus on Generative AI and LLMs.
• Strong proficiency in Python and SQL, and deep familiarity with AWS services (SageMaker, S3, Lambda, RDS, etc.).
• Demonstrated ability to design, test, and deploy production‑grade ML models.
• Excellent problem‑solving skills and ability to work both independently and within a cross‑functional team.