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Clera

Full-Stack Software Engineer

New York (Remote)$120k–$160kfulltimemidAdded today

About this role

Join an early-stage AI-native consumer intelligence platform as a Full-Stack Software Engineer, building end-to-end features across Go/Python backends and React/TypeScript frontends. You'll own the complete feature lifecycle while collaborating with ML engineers and enterprise clients to ship AI-driven products that transform complex data into actionable insights.

What you'll do

  • Build and deploy end-to-end features spanning backend services in Go/Python and frontend experiences in React/TypeScript
  • Design APIs, data models, and service architectures that support agentic AI capabilities
  • Create intuitive interfaces translating complex enterprise data into clear, actionable workflows
  • Own full feature lifecycle from scoping and architecture through testing, deployment, and customer iteration
  • Collaborate with ML engineers to integrate AI-driven features into production
  • Work directly with enterprise customers to understand needs and refine the product

What they're looking for

  • Full-stack development (TypeScript/React, Go or Python)
  • API and data model design
  • AWS or equivalent cloud infrastructure
  • Modern deployment and DevOps practices
  • LLM integrations and agentic AI systems (bonus)
  • Data visualization and real-time systems (bonus)
  • Product thinking and user-centric design
  • Startup agility and ambiguity tolerance

Benefits

  • Competitive base salary: $120,000–$160,000 annually
  • On-site role in New York with direct customer interaction
  • High ownership on small, fast-moving team
  • End-to-end feature ownership across full stack
  • Opportunity to shape product strategy at early-stage AI company
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Walk us through a full-stack feature you shipped end-to-end in a startup environment—what was your ownership and how did you handle ambiguity?
  • Describe your experience integrating LLM APIs or agentic systems into a production application.
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