Principal Software Engineer

JobID: 210729977

Category: Software Engineering

JobSchedule: Full time

Posted Date: 2026-03-27T21:23:49+00:00

JobShift: Day

Base Pay/Salary: New York,NY $204,250.00-$285,000.00; Palo Alto,CA $204,250.00-$285,000.00

Key Responsibilities:

• Design, implement, and scale AI/ML infrastructure and platforms on AWS to support serving and fine-tuning of models.
• Collaborate with cross-functional teams to ensure seamless integration and deployment of AI/ML solutions.
• Develop and optimize machine learning models and algorithms to meet business objectives.
• Stay updated with the latest advancements in AI/ML and Gen AI technologies and incorporate them into the organization's strategy.
• Leverage Databricks for data processing, model training, and deployment.
• Utilize Gen AI tools and frameworks to enhance model performance and capabilities.
• Implement best practices for LLM Ops to ensure efficient model lifecycle management.
• Lead the productionalization of Gen AI use cases, ensuring robust and scalable solutions.
• Work closely with data scientists, engineers, and product teams to deliver AI-driven solutions.
• Mentor and guide junior team members, fostering a culture of innovation and excellence.
• Monitor the performance of AI/ML models and platforms, identifying areas for improvement.
• Implement optimization techniques to enhance model accuracy, efficiency, and scalability.

Required qualifications, capabilities and skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum 8+ years of experience experience in AI/ML engineering, with a focus on AWS, Databricks, and Gen AI.
• Strong understanding of AI/ML algorithms, model serving, and fine-tuning techniques.
• Proven experience in LLM Ops and the productionalization of Gen AI use cases.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and leadership skills, with the ability to influence and drive change.

Preferred qualifications, capabilities and skills:

• Experience with other cloud platforms and AI/ML tools.
• Familiarity with data engineering and data science workflows.
• Knowledge of regulatory and compliance requirements related to AI/ML solutions