Senior AI Engineer

ServiceTitan, Inc.; Northern (KY); Hybrid; USD 180,000 - 270,000; Full time

Benefits offered by this job

Flextime

Bonus program

Health benefits

Job summary

ServiceTitan, Inc. is seeking a Senior AI Engineer to design and implement cutting‑edge ML systems powering our customer experiences.

You will work with engineering, infrastructure, data science, and growth teams, using Python and Azure Cloud to build scalable, real‑time solutions. You will deploy models including NLP, speech, forecasting, and recommendations, focusing on low latency and production‑ready ML inference services.

Qualifications

• 5+ years of production‑level Python
• 2+ years deploying ML models to production at scale
• Experience building scalable ML inference services
• Strong knowledge of ML methods, deep learning theory
• Experience with RL and online optimization
• Familiarity with databases/data warehouses (SQL Server, PostgreSQL, Redshift, Snowflake)
• Experience with Azure or AWS
• Experience with microservices and messaging (Kafka, Azure Service Bus)
• Experience with serverless architecture (Azure Functions, AWS Lambda)
• Familiarity with Azure Cognitive Services or similar is a plus
• Proficient with Git, testing, debugging, profiling, JIRA

Responsibilities

• Design scalable, low‑latency ML systems and services
• Collaborate with product teams to operationalize ML models incl. foundations and domain models
• Optimize real‑time performance of ML pipelines for superior experience
• Communicate with engineers, PMs, customers, and partners
• Engage with multiple teams including data science, infra, growth

Skills

Python

ML engineering

MLOps

LLMs

Realtime systems

Azure AWS

Kafka

Git

Tools

Azure Cloud

AWS

Kafka

SQL Server

PostgreSQL

Redshift

Job description

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.

What you'll do:

• 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.

What you’ll bring:

• 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. 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.

What We Offer:

• 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% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
• Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great.

We strongly encourage people from underrepresented groups to apply.

We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws.

For candidates in the United States, the good faith salary ranges estimate for this role is Zone 1: $179,900 USD - $269,900 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA Zone 2: $168,200 USD - $252,200 USD Applicable for: All other US locations. International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.

We’re building the first end-to-end solution to transform the trades, a trillion-dollar global industry that’s been underserved by technology for far too long.

Recognized by Forbes as one of the top cloud companies, we use our deep industry knowledge and technical expertise to develop solutions that empower everyday entrepreneurs to grow and scale their businesses.

While our vision is bold, we always stay humble. Join us. We’re just getting started.