Full-Stack AI Engineer

About Trustero

Trustero is an advanced AI application, purpose-built for the Security and Compliance vertical. Our patented AI agents can accurately and consistently do the most time-consuming jobs in Governance, Risk, and Compliance, like perform gap analysis, provide remediation guidance, questionnaire automation, evidence collection + mapping, and more, saving companies hundreds-of-thousands of dollars and returning 100s of valuable working hours each month.

Role Overview
We are seeking a skilled Full Stack AI Engineer to join our in-person team in Palo Alto, California. As a Full Stack AI Engineer, you will be responsible for designing, developing, and maintaining applications using modern client frameworks (e.g React) and integrations with the latest LLM/RAG APIs and frameworks (e.g. OpenAI, Anthropic, Haystack).

Salary Range: $100,000 - $140,000 USD per year, plus stock options, based on experience and qualifications.

Salary Range: $150,000 - $250,000 per year

Key Responsibilities

• Develop and maintain responsive front-end applications using React.

• Build and enhance RESTful APIs to support a seamless user experience.

• Design and optimize SQL queries and database schemas for high performance and scalability.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Translate vague requirements and designs into elegant, functional products.

• Write clean, maintainable, and testable code following best practices.

• Participate in code reviews and provide constructive feedback.

• Debug and resolve performance and reliability issues across the stack.

Requirements

Requirements

• 3+ years of software engineering experience with a focus on Full Stack Engineer using AI or a similar role.

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (advanced degrees are a plus).

• Proficiency in React, RESTful API design, and SQL database management.

• Proven success in delivering single-page applications (SPAs).

• Solid understanding of cloud platforms (AWS, GCP, or Azure) for production deployment and performance monitoring.

• Excellent collaboration and communication skills, able to work effectively with cross-functional engineering teams.

• Strong problem-solving abilities, adept at navigating complex technical challenges in a fast-paced environment.

Preferred Qualifications

• Proficiency in Golang, TypeScript, gRPC, and Protocol Buffers (Protobuf).

• Hands-on experience with LLM model APIs.

• Exposure to compliance, governance, or security-related platforms.

• Knowledge of microservices architecture, DevOps, and containerization tools (Docker, Kubernetes).