Senior AI Engineer

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November 21

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EverCommerce

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SaaS • B2B • eCommerce

EverCommerce is the leading service commerce platform, providing vertically-tailored, integrated SaaS solutions to over 500,000 global service-based businesses. Established in 2016, EverCommerce offers software solutions that help businesses market their services, streamline day-to-day operations, and enhance customer engagement. The company specializes in powering the service economy with digital transformation across multiple industries, including Home & Field Services, Health Services, and Fitness & Wellness. EverCommerce's technology aims to accelerate growth, improve operations, and increase retention for small and medium-sized businesses, transforming the way they interact with customers through modern digital and mobile applications.

1001 - 5000 employees

Founded 2016

☁️ SaaS

🤝 B2B

🛍️ eCommerce

💰 Private Equity Round on 2019-07

📋 Description

• Lead the design and implementation of a scalable, secure , multi-tenant agentic AI platform and MCP server infrastructure • Define technical strategy, architectural blueprints, and component-level specifications for shared AI services • Evaluate and select core technologies, frameworks, and tools to enable robust AI/ML development and deployment • Build and maintain AI/ML Ops pipelines for model training, fine-tuning, deployment, monitoring, and lifecycle management at scale • Define methods to quantify performance and define desired model behavior in business-scoped areas/workflows • Drive comparative testing and benchmarking of LLMs, agents, tools, and supporting components to ensure optimal selections • Lead and mentor a team of AI/ML engineers, fostering technical excellence and a culture of innovation • Collaborate with the AI/ML Product Manager and UX Designer to align technical execution with product strategy and UX principles • Partner with product engineering teams across the portfolio to integrate shared AI platform capabilities into their products • Implement enterprise-grade security, compliance, and observability for all AI platform components • Establish coding, testing, and documentation best practices for reusable AI tooling and services • Champion responsible AI practices, ensuring ethical and trustworthy deployment of AI systems

🎯 Requirements

• 8+ years of software engineering experience, with 4+ years focused on AI/ML systems development • Deep hands-on experience with shipping agents in production, multi-agent orchestration, and LLM-based systems with tool-use and safety guardrails • Proven expertise in AI/ML Ops (CI/CD for models, model registries, monitoring, observability, and versioning) • Strong background in designing and operating large-scale distributed systems or platform infrastructure • Familiarity with model evaluation methodologies, benchmarking, reinforcement learning, fine-tuning and experiment management • Demonstrated experience leading teams of engineers on complex, cross-cutting technical initiatives • Strong systems thinking, architecture design, and technical communication skills • Strong programming skills and experience in Python (PyTorch/TF, HF) and full-stack development • Node.js and TypeScript knowledge a plus

🏖️ Benefits

• Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid • Robust health and wellness benefits, including an annual wellness stipend • 401k with up to a 4% match and immediate vesting • Flexible and generous (FTO) time-off • Employee Stock Purchase Program