Software Engineer, AI Platform
District Partners
About the Role
District Partners is supporting an AI-native cybersecurity company that has secured Series B funding and is expanding the software that helps organizations uncover and address exploitable risks. This is a hands-on software engineering role spanning Python backend development and React and TypeScript frontend applications. The work combines foundational product development with the systems engineering needed to make AI-powered capabilities reliable in production. You’ll develop products from scratch and build the platforms and tools behind that technology, with direct influence over architecture and meaningful equity participation.
Key Responsibilities
- Take products from 0 to 1, translating emerging needs into technical designs, working prototypes, and production software.
- Build Python backend services and orchestration capabilities that coordinate complex workflows and tool interactions.
- Develop React and TypeScript applications that make platform capabilities accessible through intuitive interfaces.
- Engineer systems for concurrent and distributed execution, improving responsiveness, reliability, and operating efficiency.
- Build evaluation and monitoring tools that help the team understand system behavior, diagnose failures, and improve product quality.
- Own delivery across the stack, including testing, debugging, rollout, and ongoing production performance.
Requirements & Tech Stack
- Demonstrated 0-to-1 experience developing products from scratch, with clear ownership of design, implementation, and delivery.
- Strong Python backend development experience building and operating production services.
- Hands-on React and TypeScript experience developing frontend applications.
- Depth in backend and distributed systems, including concurrency, performance tradeoffs, and diagnosing production issues.
- Strong computer science fundamentals and a rigorous academic background in computer science or a related discipline.
- Meaningful technical contributions within respected technology companies, successful startups, or similarly demanding engineering environments.
- AI or LLM experience is ideal, particularly with tool integration, orchestration, or evaluation. Engineers with strong systems experience and an interest in developing these capabilities are also encouraged.
Qualifications
- Python
- React
- TypeScript
- Backend development
- Distributed systems
- Concurrency
- Performance optimization
- Production issue diagnosis
- Computer Science fundamentals
Location: Palo Alto, CA
Work model: 5 days per week onsite
Engagement: Full-time