Principal Engineer, Agentic AI.

Accountabilities

• Define and lead the technical strategy for core platform components, particularly data ingestion and processing systems that power advanced CRM functionalities and automation tools.

• Drive architectural decisions and design reusable, scalable full-stack components and services to support platform performance, reliability, and long-term growth.

• Lead the development and integration of agentic AI capabilities, designing autonomous workflows that enhance product functionality and transform engineering processes.

• Build, deploy, and optimize production-grade AI-powered features using Large Language Models (LLMs), prompt engineering, and intelligent orchestration techniques.

• Continuously adapt technical priorities to evolving business requirements, balancing core infrastructure improvements with new integrations and product development initiatives.

• Collaborate closely with Product and Engineering leadership to understand customer needs, identify technical opportunities, and translate user challenges into effective product solutions.

• Champion engineering excellence by establishing best practices in code quality, security, testing automation, and maintainability.

• Conduct in-depth code reviews, mentor engineering colleagues, and promote high technical standards across the organization.

• Influence and improve DevOps practices, including CI/CD pipelines, containerization, and Infrastructure as Code (IaC).

• Design and maintain AI-integrated, agentic-ready infrastructure that supports autonomous workflows and enables more efficient software delivery.

• Explore and implement AI-driven engineering tools, including automated code review agents, AI-assisted testing, and workflow orchestration solutions.

• Take full ownership of technical initiatives from initial concept and architecture through implementation, deployment, and continuous improvement.

Requirements:

• 7+ years of professional experience designing and developing complex, web-based SaaS products.

• Strong ownership mindset, with a demonstrated ability to independently lead major technical initiatives, take accountability for outcomes, and consistently deliver high-quality results in fast-paced environments.

• Hands-on experience integrating Large Language Models (LLMs), including prompt engineering and AI-assisted development techniques.

• Proven experience building, deploying, and maintaining AI-powered features and autonomous agentic workflows in production environments.

• Practical experience integrating AI tools into CI/CD pipelines, such as automated code review agents, AI-assisted testing systems, and agentic workflow orchestration.

• Strong database expertise, including relational databases such as PostgreSQL and MySQL, as well as NoSQL technologies such as MongoDB and Redis.

• Experience with database schema design, query optimization, and building reliable data-processing systems.

• Strong understanding of scalable software architecture, modern development practices, infrastructure, and distributed systems.

• Excellent communication and collaboration skills, with the ability to explain complex technical concepts in business and product terms and influence technical decisions with senior stakeholders.

• A proactive, adaptable, and solution-oriented approach, with the ability to navigate ambiguity, challenge existing approaches, and identify opportunities for innovation.

• Nice to have: Experience with .NET, Node.js (TypeScript), and React.

• Nice to have: Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.

• Nice to have: Previous experience as a founding engineer or within an early-stage, high-growth startup.

• Nice to have: Experience building or integrating Claude marketplace plugins and working within the Anthropic ecosystem, including prompt chaining, tool use, and Model Context Protocol (MCP) integrations.

Benefits:

• Equity options: Opportunity to participate in the company's growth and share in its long-term success.

• Fully remote work: Work from anywhere in the United States.

• Healthcare coverage: 100% employer-paid medical insurance.

• Flexible paid time off: Flexible PTO policy with a 15-day minimum.

• Financial benefits: Access to Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and 401(k) options.

• Learning and development: Dedicated learning stipend to support continuous professional growth and technical development.

• Remote work support: Home office equipment provided to help create a productive working environment.

• Innovative engineering culture: Opportunities to influence emerging AI technologies and contribute to an agentic-first engineering environment.

• Career growth and ownership: Significant autonomy, technical leadership opportunities, and the ability to shape major products from concept to launch.

• Collaborative environment: Work alongside talented professionals in a flexible, forward-thinking, and growth-oriented team.