Principal Engineer, Agentic AI
S
SteerAutomotive repair SaaS
Location: United States (Remote); 100% Remote: Work from anywhere in the US.Full-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 7+ years of professional experience building complex, web-based SaaS products.
- Required Skills
- DockerPostgreSQLKubernetesMongoDBMySQLRedisCI/CDPrompt Engineering
Requirements
- Bring 7+ years of professional experience building complex, web-based SaaS products.
- Have hands-on experience working with LLMs and prompt engineering.
- Have proven experience deploying AI-powered features and autonomous agentic workflows in production-grade infrastructure.
- Have hands-on experience integrating AI tooling into CI/CD pipelines, such as automated code review agents, AI-assisted testing, or agentic workflow orchestration.
- Be proficient with relational databases, including PostgreSQL and MySQL.
- Be proficient with NoSQL databases, including MongoDB and Redis.
- Have experience with database schema design and query optimization.
- Translate complex technical concepts into product outcomes and collaborate effectively with leadership.
- Familiarity with .NET, Node.js (TypeScript), and React is a plus.
- Experience with Terraform or CloudFormation is a plus.
- Experience as a founding engineer or in an early-stage startup is a plus.
- Experience building or integrating Claude marketplace plugins, including prompt chaining, tool use, or MCP integrations, is a plus.
Responsibilities
- Optimize how Steer CRM ingests and processes data to improve its automation tools.
- Lead the design of reusable full-stack components and services.
- Adapt between new integrations and core infrastructure as business needs evolve.
- Partner with Product to understand user pain points and inform architectural decisions.
- Champion security, test automation, and maintainability best practices.
- Conduct in-depth code reviews.
- Influence CI/CD pipelines, containerization, and infrastructure-as-code practices.
- Design and maintain AI-integrated, agentic-ready infrastructure for autonomous workflows.
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