> Markdown version of [/jobs/ext/4635046-principal-software-engineer](https://www.wearedevelopers.com/jobs/ext/4635046-principal-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - **Company:** The Testing Site - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Information Engineering, Machine Learning, Data Processing, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, Data Pipelines, Databricks - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25197_ab936ab19d369f2720b8c9d5d6cb5f4e ## About the Role * 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., * 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 ## Description * 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.