Member of Technical Staff, Full Stack

Coram AI
Sunnyvale, US
On-site

Who this role is best for

Best suited to full-stack engineers with startup experience working in AI-native video security systems.

Best fit for

  • Candidates with startup experience in building AI-native systems from scratch or scaling them
    — “Previous startup experience building systems from scratch or scale-up experience and knowing what good looks like”
  • Individuals comfortable with both backend and frontend development in a technically ambitious environment
    — “Implement user-facing frontends in TypeScript/React, working closely with product”
  • Engineers with strong opinions on AI-assisted development and its practical applications
    — “Fluency with AI-assisted development and opinions on where it works well”

Things to consider

  • Onsite work is a requirement, which may be a constraint for remote-preference candidates
    — “Ability to work in an onsite environment”
  • The role involves complex infrastructure and architecture decisions, requiring strong technical judgment
    — “Collaborate on infrastructure and architecture decisions from the ground up”

How to stand out

  • Highlight experience with distributed systems and cloud-native infrastructure like Kubernetes and Pulumi
    — “Comfort with distributed systems, containers, and cloud-native infrastructure”
  • Demonstrate end-to-end AI feature development experience, such as NLP or computer vision integration
    — “Ship AI-native features end to end: natural-language video search, real-time detections”
  • Showcase ability to design scalable APIs and systems that integrate ML pipelines
    — “Design scalable APIs and systems that interface with our ML pipelines”
  • Emphasize communication skills and ability to influence across teams and levels
    — “Exceptional written and verbal communication skills in English, with the ability to influence at all levels”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Successfully ship AI-native features end to end
  • Design scalable APIs and systems that interface with ML pipelines and edge device fleet
Typical background
Bachelor's degree in Computer Science or similar relevant experiencePrevious startup experience building systems from scratch or scale-up experience

Skills & requirements

Required

GoPythonC++TypeScriptReactREST ApisKubernetesAWSDistributed SystemsCloud-native InfrastructureAi-assisted DevelopmentSystem PerformanceReliabilityClean Architecture

Preferred

PulumiMachine LearningMultimodal LlmsComputer Vision

Stack & domain

GoPythonC++TypeScriptReactKubernetesAWSPulumiIacML PipelinesEdge Device FleetDistributed SystemsContainersCloud-native InfrastructureAi-assisted DevelopmentSystem PerformanceReliabilityClean ArchitectureLeadershipCommunicationProblem-solvingTeamworkAdaptabilityInfluenceResilienceCollaborationVideo SecurityAIComputer VisionCloud-native PlatformMultimodal LlmsNatural-language Video SearchReal-time DetectionsAgentic WorkflowsFirearm DetectionIntelligent Access Control

About the role

Original posting from Coram AI via Ashby

At Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining an ambitious, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

In this role, you will:

  • Build and maintain backend services that ingest, process, and serve video and sensor data at scale
  • Ship AI-native features end to end: natural-language video search, real-time detections, and agentic workflows built on multimodal LLMs and computer vision
  • Implement user-facing frontends in TypeScript/React, working closely with product
  • Design scalable APIs and systems that interface with our ML pipelines and edge device fleet
  • Collaborate on infrastructure and architecture decisions from the ground up
  • Tackle problems involving distributed systems, real-time processing, and high availability

Skills and qualifications:

  • A Bachelor's degree in Computer Science or similar relevant experience
  • Strong experience with Golang, Python, or C++
  • Experience with modern frontend stacks — TypeScript, React (react-query, Tailwind)
  • Experience designing and building scalable backend systems and APIs
  • Comfort with distributed systems, containers, and cloud-native infrastructure (we run Kubernetes on AWS, Pulumi for IaC)
  • Fluency with AI-assisted development and opinions on where it works well
  • Previous startup experience building systems from scratch or scale-up experience and knowing what good looks like
  • A strong understanding of system performance, reliability, and clean architecture
  • Resilient in challenging and fast-paced environments
  • Exceptional written and verbal communication skills in English, with the ability to influence at all levels
  • Ability to work in an onsite environment

We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by Ashesh Jain (ex-Lyft Level 5, PhD Cornell) and Peter Ondruska (ex-Lyft, PhD Oxford), Coram AI is backed by Ansa Capital, Battery Ventures, Mosaic, 8VC and Up Partners, have raised over $65M, and were named to the CB Insights AI 100 as one of the most promising AI companies in the world. If you're excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.

Source: Coram AI careers (Ashby)

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