Senior AI Engineer

Senior AI Engineer Ready to be a Titan? In this position, you will design and implement cutting-edge machine learning systems that power our next generation of customer experiences. You will engage with multiple internal teams, including engineering, infrastructure, data science, and growth. We build for perfection, use Python and the most modern tools on Azure Cloud, have an amazing culture, and love to solve complex, real-time problems.

Design and implement scalable, low-latency ML systems and services, including model training, inference, and deployment infrastructure. The ideal candidate has a strong engineering background and is familiar with AIOps and MLOps practices. Collaborate with product teams to integrate and operationalize machine learning models — including foundational models (like LLMs), traditional ML models, and specialized models for domains such as speech, NLP, and forecasting — into production. Optimize the performance and real-time responsiveness of ML pipelines to ensure superior customer experience and minimal latency. Communicate effectively with other engineers, product managers, customers, and partners.

5+ years of experience writing production-level code in Python. 2+ years of experience deploying machine learning models — such as NLP, speech, forecasting, or recommendation systems — to production at scale. Experience with designing, building, and deploying scalable ML inference services to support real-time or high-throughput applications. Advanced knowledge of machine learning methods and algorithms across traditional ML methods and deep learning theory and techniques. Experience with reinforcement learning (RL) techniques and implementing continuous learning/online optimization systems for production. Strong understanding of the machine learning project lifecycle, from experimentation to production deployment. Experience with databases/data warehouses such as SQL Server, PostgreSQL, Redshift, Snowflake. Experience with public cloud environments such as Azure or AWS. Experience with microservices and asynchronous messaging technologies like Kafka, Azure Service Bus, etc. (critical for high-volume, real-time systems). Experience with serverless architecture (Azure Functions, AWS Lambda, etc.). Experience with Azure Cognitive Services or similar cloud-based AI offerings is a plus. Experience with Git, unit testing, debugging, profiling, JIRA, and other tools typically used by developers. Comfortable working in a fast-paced environment with a globally distributed team. Be Human With Us: Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.  Use of AI Technology: We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.

When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career: Flextime, recognition, and support for autonomous work : Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more. Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100%