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Full-Stack AI Engineer

  • On-site
    • Palo Alto, California, United States
  • Engineering

Join Trustero to define how AI help security professionals. Make AI a productive part of every security practitioners’ daily lives. In-office Palo Alto, CA.

Job description

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.

Job 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).

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