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Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead development and deployment of production-grade generative AI applications for sales enablement. Build copilots, automated outreach, and voice/chat interfaces; work across model experimentation, app development, and infrastructure; partner with revenue ops, product, and engineering to scale AI features that improve efficiency and personalization across the sales funnel.
Top Skills:
APIsBackend SystemsEmbeddingsGongLangchainLatency ManagementLlmsMcpModel EvaluationObservabilityOpenai SdkOutreachPrompt EngineeringPythonRagRetrieval SystemsSalesforceStreaming Voice/Chat PipelinesVector Databases
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design core platform services, infrastructure-as-code, CI/CD, and scalable APIs. Collaborate with ML, frontend, and product teams to ship AI-powered features, mentor junior engineers, and maintain high availability for consumer and enterprise customers.
Top Skills:
Ai Agent OrchestrationAWSAzureCi/CdClaude CodeCopilotCursorEvent-Driven ArchitectureGCPHigh-Throughput Api DesignInfrastructure As CodeReal-Time Systems
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead vision, strategy, and execution for Dropbox's next-generation design system and design technology platform. Build reusable patterns, components, tokens, and governance; partner with product, engineering, research, and brand; raise interaction, accessibility, and implementation quality; create adoption and measurement models; and develop a multidisciplinary team to scale coherent, high-quality multi-product experiences including AI-native capabilities.
Top Skills:
Accessibility InfrastructureAi-Assisted ExperiencesComponent ArchitectureContent SystemsDesign SystemsDesign TechnologyDesign TokensFront-End EngineeringPrototyping Tools
Build full-stack features and realtime web interfaces for the Autonomous Traffic Control platform. Develop frontend UIs (maps, telemetry) and backend services/APIs, integrate streaming feeds, and ship reliable, operational tools used by controllers, fleet operators, and drivers.
Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
We are seeking a highly skilled and motivated Frontend Engineer, Autonomous Traffic Control to build the systems and interfaces that connect our autonomous fleet to the people and intelligence that support it. This is a full-stack role with deep frontend domain expertise. Your flagship project is Autonomous Traffic Control (ATC) — the platform through which our autonomy vehicles request and receive Traffic Advice, environmental intelligence, and human assistance. You will also contribute to operations and data platforms across internal developer and operation platforms, shipping polished, reliable, real-time tools used by ATC controllers, fleet operators, and vehicle drivers.
Key Responsibilities- Design and build full-stack features for Autonomous Traffic Control (ATC), enabling controllers to review vehicle state reports and issue Traffic Advice (reroute, wait, retry, dispatch, escalate) in real time.
- Develop responsive, data-rich web interfaces using modern frontend frameworks (React, TypeScript, Vite, Tailwind), with strong attention to UX, real-time data, and operational reliability.
- Build the backend services, APIs, and event-driven/streaming integrations that power ATC and connect it to the autonomous fleet and external live feeds (weather, DOT/traffic, operator inputs).
- Contribute to operations and visualization tools across internal developer & operation platforms and the driver-facing on-vehicle application.
- Visualize fleet state, geospatial data (maps, polygons, routes), and telemetry to give operators clear, actionable situational awareness.
- Partner with product, autonomy, and operations teams to translate operational workflows (SOPs) into intuitive, dependable software.
- Own features end to end — from design and implementation through testing, deployment, and operation in production.
- Uphold engineering best practices with clean, maintainable, well-tested code and thoughtful API and component design.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 0-3 years of full-stack software engineering experience, with demonstrated frontend domain expertise (new graduates with strong fundamentals are welcome)
- Proficiency with modern frontend frameworks and tooling (React, TypeScript, and a build system such as Vite; CSS frameworks such as Tailwind)
- Strong eye for UX, performance, and building reliable real-time interfaces
- Familiarity with backend skills in one or more of Python, Go, Java, or Node.js, including building and consuming REST and streaming APIs
- Experience building real-time, operations-critical, or mission-control style applications (live dashboards, monitoring, command-and-control)
- Experience with geospatial/mapping visualization (e.g., Mapbox, deck.gl, Leaflet) and large-scale data visualization
- Familiarity with event-driven architectures and streaming (WebSockets, MQTT, NATS, Kafka)
- Experience with containerized deployment (Docker, Kubernetes) and cloud platforms (AWS)
- Interest in autonomous systems, robotics, or transportation
- Experience collaborating closely with operations teams and turning workflows into product
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