Full Stack Engineer

Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided)

• Serve as the technical owner and primary maintainer of all internal GenAI/AI-powered applications across the company, spanning departments such as Operations, Sales, Finance, HR, and Engineering.
• Maintain a centralized registry of all employee-built GenAI tools, ensuring visibility, governance, and version control across all applications.
• Evaluate, onboard, and integrate third-party AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI) and open-source models into internal tooling.
• Partner with cross-functional stakeholders to scope, prioritize, and deliver new AI-powered features and tools that address real business needs

• Design and build scalable, maintainable front-end interfaces (React, Next.js, or equivalent) for internal AI tools and dashboards.
• Develop and maintain back-end APIs, microservices, and data pipelines (Python, Node.js, or equivalent) to support AI model inference, data retrieval, and workflow automation.
• Architect and manage cloud infrastructure (AWS, GCP, or Azure) to host and scale GenAI applications reliably and cost-effectively.
• Implement RAG (Retrieval-Augmented Generation) pipelines, vector databases, and prompt engineering frameworks to enhance AI application performance.

• Champion and enforce SSDLC best practices across all GenAI projects, including threat modeling, secure code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Design authentication, authorization, and data privacy controls for all AI applications, ensuring compliance with company security policies and applicable regulations.
• Identify and remediate prompt injection vulnerabilities, data leakage risks, and model misuse scenarios specific to LLM-based applications.
• Establish CI/CD pipelines with integrated security gates, automated testing, and deployment guardrails for all GenAI applications.
• Conduct regular security audits and vulnerability assessments of GenAI applications and maintain a risk register for AI-specific threats.

• Define and document internal standards for AI application development, including coding standards, API usage policies, prompt guidelines, and data handling requirements.
• Review and approve employee-built AI applications prior to production deployment, enforcing quality, security, and compliance standards.
• Monitor AI application usage, performance, and costs (token consumption, API spend), and provide regular reporting to leadership.
• Stay current with the rapidly evolving GenAI landscape and proactively recommend new tools, frameworks, or approaches that benefit Knightscope.

• 4–8 years of full stack software engineering experience, with at least 2 years working directly with AI/ML APIs or LLM-based applications in a production environment.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
• Demonstrated experience owning multiple software projects end-to-end, from architecture through deployment and ongoing maintenance.

• Proficiency in front-end development: React, TypeScript, Next.js, or equivalent modern frameworks.
• Strong back-end skills: Python and/or Node.js; experience with REST and GraphQL APIs; familiarity with FastAPI, Flask, Express, or similar frameworks.
• Hands-on experience with LLM/GenAI integration: OpenAI API, Anthropic Claude API, Langchain, LlamaIndex, or equivalent frameworks.
• Experience with vector databases (Pinecone, Weaviate, pgvector, or equivalent) and RAG architecture patterns.
• Cloud platform experience (AWS, GCP, or Azure): containerization (Docker, Kubernetes), serverless functions, managed databases, and IAM/secrets management.
• Strong understanding of the Secure Software Development Lifecycle (SSDLC), including threat modeling, OWASP Top 10, SAST/DAST tooling, and secrets management.
• Familiarity with AI-specific security risks: prompt injection, data exfiltration, model inversion, and jailbreak mitigation strategies.
• Proficiency with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or equivalent) and DevSecOps practices.
• Solid understanding of database design: relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).

• Security certifications such as CSSLP, CompTIA Security+, AWS Security Specialty, or equivalent.
• Experience building internal developer platforms, tooling portals, or enterprise AI application hubs.
• Background in robotics, IoT, or physical security technology environments.
• Familiarity with AI governance frameworks, responsible AI principles, and emerging regulations (e.g., EU AI Act, NIST AI RMF).
• Experience with observability tooling (Datadog, Grafana, OpenTelemetry) and monitoring LLM application performance and costs.

• Base Salary: $175,000 – $200,000 (DOE)
• Equity: Stock options
• Benefits: Medical, dental, vision, 401(k), paid time off
• Location Requirement: Full-time, on-site at Sunnyvale HQ