Lead AI Engineer

November 22

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ServiceTitan

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SaaS • B2B • Marketplace

ServiceTitan is a comprehensive software platform designed for the trades industry, providing solutions to enhance productivity and profitability for businesses. It offers a variety of features including dispatching, scheduling, marketing, reporting, and customer experience tools, tailored for trades like plumbing, HVAC, electrical services, and more. ServiceTitan seeks to empower businesses by optimizing operations, improving cash flow, and delivering superior customer experiences through an all-in-one platform. The software includes real-time data analytics, financing options, and mobile capabilities to support the operational needs of contractors and increase their revenue streams. By consolidating multiple business functions into a single platform, ServiceTitan aims to help contractors grow profitably and efficiently.

1001 - 5000 employees

Founded 2012

☁️ SaaS

🤝 B2B

🏪 Marketplace

💰 $200M Series G on 2021-06

📋 Description

• Drive the development of our cutting-edge AI Voice Agents and conversational systems. • Act as the primary technical leader for the product, navigating ambiguity and delivering robust, scalable solutions that redefine customer experiences. • Engage with leadership across engineering, infrastructure, data science, and product growth. • Contribute significantly to the technical roadmap for the AI Voice Agent system and ensure execution aligns with product and business goals. • Serve as the technical lead and subject matter expert for critical projects, actively mentoring and guiding engineers on best practices in AIOps, LLMOps, system design, and implementation excellence. • Collaborate with product teams to integrate and operationalize Foundational Models (like LLMs) and specialized speech models into production, focusing on high-volume, low-latency API usage, cost-efficiency, and resilience. • Drive execution for complex, cross-functional projects, proactively identifying and resolving technical blockers in infrastructure, deployment, and real-time performance optimization. • Communicate effectively with executives, product managers, customers, and partners, translating complex technical challenges into clear implementation plans and strategic recommendations.

🎯 Requirements

• 8+ years of experience writing production-level code in Python. • 3+ years of experience designing, deploying, and maintaining high-volume, low-latency production AI/ML systems, specifically Conversational AI models, ASR/TTS engines, or real-time NLP systems. • Deep expertise in designing and deploying large-scale, fault-tolerant AI inference services and distributed systems to support real-time voice agents. • Strong understanding of the Conversational AI and Machine Learning project lifecycle. • Advanced knowledge of Machine Learning methods and algorithms across traditional ML methods and Deep Learning theory and techniques. • Expertise in leveraging and orchestrating Foundational Models using tools like LangChain, LangGraph, or equivalent frameworks, including state-of-the-art prompting, agent design, and RAG (Retrieval-Augmented Generation) techniques. • Experience with Reinforcement Learning (RL) techniques and implementing Continuous Learning/Online Optimization systems for production. • Experience with deep learning frameworks (PyTorch, TensorFlow) and NLP/Speech-focused libraries (e.g., Hugging Face Transformers, DeepSpeech, Kaldi/ESPnet). • Expert-level knowledge of data storage and analytics technologies (SQL Server, PostGreSQL, Redshift, Snowflake). • Extensive experience with public cloud environments such as Azure or AWS, including security, cost management, and cloud-native architecture. • Proven ability to architect solutions using microservices and asynchronous messaging technologies like Kafka, Azure ServiceBus, etc. (critical for high-volume, real-time interactions). • Experience with serverless architecture (Azure Functions, AWS Lambda, etc.). • Experience with Azure Cognitive Services (Speech/Bot Service) or similar cloud-based AI offerings is a significant plus. • Expert command of Git, unit testing, debugging, profiling, and modern SDLC tools. • Demonstrated ability to provide technical leadership and operate effectively in a fast-paced environment with a globally distributed team.

🏖️ Benefits

• Flexibility & Autonomous Work: Enjoy the freedom of a fully remote setup, flexible working hours, and flexible time off. • Growth & Development: We invest in your growth. Benefit from a comprehensive onboarding program, leadership training for Titans at all levels, and ample learning and development opportunities to help you grow. • Ownership & Recognition: As a Titan, you’re an owner. We offer a compelling package that includes an annual bonus and Restricted Stock Units (RSUs). • Great work is also rewarded through Bonusly, peer-nominated awards, and more. • Holistic Health & Wellness: Your well-being is our priority. We offer premium, company-paid private health insurance. • Support for Titans at All Stages of Life: We offer comprehensive support including parental leave, financial planning tools, Employee Assistance Program services, and more.