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 and developing AI first applications using modern client frameworks (e.g React), mid-tier RESTful APIs and back-end interactions with LLM/RAG APIs and frameworks (e.g. OpenAI, Anthropic, Haystack).
Salary Range: $150,000 - $220,000 USD per year, plus stock options, based on experience and qualifications.
Salary Range: $150,000 - $250,000 per year
Key Responsibilities
AI-First Feature Development
Design and implement agentic workflows using custom LLM prompts and tool call orchestration.
Integrate LLMs to drive product experiences, automate reasoning, and enhance decision-making.
Experiment with and refine LLM interactions, retrieval strategies (e.g. RAG), and context construction.
Evaluate LLM performance in production environments and iterate on prompts, toolchains, and logic flows.
Full Stack Engineering
Build and maintain scalable RESTful and gRPC APIs that serve AI-powered features and data pipelines.
Develop responsive and intuitive front-end interfaces in React that integrate seamlessly with AI capabilities.
Contribute across the mid-tier and backend stack, to support data processing, model integration, and business logic.
Translate abstract requirements into reliable, user-facing product features with minimal supervision.
Data & System Design
Design and optimize SQL queries and database schemas to support fast access to structured data.
Create and maintain vector stores and indexes to support retrieval-augmented generation.
Implement performant data pipelines for ingesting, chunking, and enriching documents used in AI workflows.
Ensure systems are designed with scalability, security, and observability in mind.
Collaboration & Quality
Work closely with cross-functional teams including product and design to ship impactful AI-powered features.
Participate in peer code reviews, mentor junior engineers, and contribute to shared best practices.
Maintain high standards for code quality, documentation, and test coverage across the stack.
Proactively identify and resolve technical challenges related to AI integration, performance, and maintainability.
Requirements
Requirements
5+ years of professional software engineering experience, with recent work in full stack or AI-focused roles.
Proficiency with modern full stack technologies, including React, RESTful APIs, and relational databases (e.g., PostgreSQL, MySQL).
Hands-on experience integrating LLMs and RAG systems via commercial or open-source APIs (e.g., OpenAI, LangChain, Cohere).
Strong grasp of deploying and monitoring production systems on cloud platforms such as AWS, GCP, or Azure.
Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees are a plus.
Exceptional collaboration and communication skills; comfortable working across engineering, product, and design teams.
Proven problem-solving skills and ability to thrive in a fast-paced, ambiguous environment with evolving technical challenges.
Preferred Qualifications
Proficiency in Golang, Python, TypeScript, gRPC, and Protocol Buffers (Protobuf).
Exposure to compliance, governance, or security-related platforms.
Knowledge of microservices architecture, DevOps, and containerization tools (Docker, Kubernetes).
