Knightscope
Full Stack Engineer
Sunnyvale, California · Full-time
Sponsorship not specified$175k-$200kDetected 33 days ago
TypeScriptPythonReactNext.jsNode.jsFastAPIFlaskExpressFull-Stack DevelopmentCode ReviewGitNoSQLPostgreSQLMySQLMongoDBRedisVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesCI/CD
About the role
- You will serve as the central technical owner ensuring that all internal GenAI applications are built with security, scalability, and responsible AI principles embedded from the ground up.
- The ideal candidate brings full stack engineering expertise, a deep understanding of the Secure Software Development Lifecycle (SSDLC), and hands-on experience integrating large language models and AI APIs into production applications.
- Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided)
Responsibilities
- Maintain a centralized registry of all employee-built GenAI tools, ensuring visibility, governance, and version control across all applications.
- 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.
- Design authentication, authorization, and data privacy controls for all AI applications, ensuring compliance with company security policies and applicable regulations.
Requirements
- 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).
Nice to have
- 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.
Skills
- 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.
- 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.
- Python and/or Node.js; experience with REST and GraphQL APIs; familiarity with FastAPI, Flask, Express, or similar frameworks.
- Preferred Qualifications
- Security certifications such as CSSLP, CompTIA Security+, AWS Security Specialty, or equivalent.
Compensation
- $175,000 - $200,000 (DOE)
Benefits
- Medical, dental, vision, 401(k), paid time off
- Equity: Stock options
Company info
- About Knightscope
- Knightscope is a security technology company building the Nation's First Autonomous Security Force.
- The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure.
- Knightscope's long-term mission is to make the United States of America the safest country in the world
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This listing is sourced directly from Knightscope's careers page and normalized into a canonical job model.