Jobs at Beacon AI

Develop and maintain high-performance iOS applications for a flight safety platform. Responsibilities include implementing features with Swift and modern iOS frameworks, integrating APIs and real-time data, collaborating with design and product teams, participating in code reviews, and ensuring application quality through testing and documentation.

Develop and maintain high-performance iOS applications for a flight safety platform. Responsibilities include building features with Swift, SwiftUI, UIKit, and modern iOS frameworks; integrating APIs and real-time data; collaborating with design and product teams; participating in code reviews; and ensuring application quality, performance, testing, and maintainability.

Build React-based web interfaces for a flight safety platform, integrating and visualizing real-time and historical aviation data. Collaborate with backend engineers, product managers, and designers; contribute to code reviews, testing, documentation, reusable components, and frontend architecture. The role requires maintaining reliable, performant, and maintainable production systems in a collaborative hybrid environment.

Lead the design, implementation, and operation of AWS cloud infrastructure and LLM platforms. Build secure, scalable CI/CD, data ingestion, RAG, vector search, model serving, evaluation, observability, and IoT systems. Develop production services using AWS Bedrock, SageMaker, containers, serverless platforms, and infrastructure as code. Optimize reliability, cost, performance, privacy, and safety while partnering with product and application teams. The role includes production ownership, troubleshooting, and on-call responsibilities.

Build and operate production LLM features for aviation, including RAG, tool calling, structured outputs, evaluation systems, guardrails, observability, and cost and latency optimization. Develop Python or TypeScript services, collaborate on embeddings and vector search, maintain knowledge bases, implement privacy and safety controls, and own features end-to-end in a safety-critical environment.

Build and lead production LLM features, including RAG, tool calling, structured outputs, evaluation systems, guardrails, observability, and provider integrations. Own Python or TypeScript services, retrieval infrastructure, data synchronization, quality metrics, cost and latency optimization, and safety controls. Provide technical direction across teams while partnering with ML, infrastructure, product, and security stakeholders in a safety-critical aviation environment.

Lead frontend engineering for a flight safety platform, designing React interfaces that process and visualize large-scale real-time and historical aviation data. Architect reliable frontend systems, build reusable components and libraries, optimize performance, implement automated testing, and uphold engineering standards. Mentor engineers, contribute to architectural decisions, and collaborate with backend, product, and UX/UI teams. The role is hybrid in San Carlos, California, with at least three onsite days weekly.

Design, build, and operate secure AWS cloud infrastructure and LLM platforms. Develop IaC, CI/CD, data ingestion, RAG and vector-search systems, model endpoints, observability, cost controls, safety mechanisms, and IoT deployments. Partner with product and application teams to integrate AI capabilities, troubleshoot production systems, and optimize reliability, performance, and inference costs. The role requires end-to-end ownership, including production operations and on-call support.

Build React-based web interfaces for a flight safety platform using real-time and historical aviation data. Responsibilities include integrating APIs and data streams, visualizing complex datasets, collaborating with backend engineers, product managers, and designers, participating in code reviews, writing tests and documentation, and developing reusable frontend components and libraries. The role is hybrid in San Carlos, California, with at least three onsite days per week.

Develop and maintain high-performance iOS applications for Beacon AI’s flight safety platform. Responsibilities include building features with Swift and modern iOS frameworks, integrating APIs and real-time data, collaborating with designers and product managers, participating in code reviews, and supporting testing, documentation, performance, and maintainability. The role is hybrid in San Carlos, California, with at least three onsite days weekly.

Design, build, and scale backend services, distributed systems, secure APIs, and data pipelines for a mission-critical flight safety platform. Own system reliability, performance, scalability, and production operations while leading technical design, code reviews, troubleshooting, and architectural decisions. Partner with product and cross-functional teams to deliver backend features from concept through deployment.

Design, build, and maintain backend services, APIs, and data pipelines supporting flight safety applications. Integrate real-time and batch data sources, develop reliable production systems, collaborate with product and engineering teams, and contribute to testing, monitoring, documentation, and code reviews. The role also supports system performance, scalability, security, and maintainability in a fast-moving hybrid environment.

Build and operate user-facing LLM features, including RAG, tool calling, structured outputs, evaluation systems, guardrails, and production service layers. Develop APIs and workers, optimize latency and cost, manage embeddings and vector search, monitor quality and reliability, and implement privacy, security, auditing, and human-in-the-loop controls. Collaborate across product, infrastructure, ML, and security teams in a safety-critical aviation environment.

Lead technical recruiting strategy and execution for Beacon's Murdock product, focusing on sourcing, screening, and hiring engineers in iOS, ML, robotics, autonomy, and embedded domains. Partner with engineering leaders to refine roles, evaluate candidates, synthesize interview feedback, and optimize recruiting processes and candidate experience. Build intentional pipelines and represent Beacon to close top talent.

Lead day-to-day legal operations: manage contract intake, drafting, negotiation, templates, and obligations tracking; coordinate outside counsel on government contracts and IP; own people-related agreements and recurring business operations; build simple processes, trackers, and playbooks to reduce founder time on routine legal/ops work.