An early-stage, well-funded startup building infrastructure in the AI reliability space. Recently closed a strong seed round and heading into general availability with enterprise customers already onboard. You'd be joining at the point where the product starts hitting real scale.
Responsibilities- Own features from technical design through implementation, rollout, and iteration
- Design, build, and maintain backend services and APIs powering enterprise-facing applications
- Deploy and operate production systems in cloud environments, with a focus on reliability and scale
- Contribute frontend work where needed to ship complete, user-facing features
- Model and manage application data with clean, well-structured design
- Partner closely with leadership and engineering to translate product goals into pragmatic solutions
- Help shape technical direction in a category that's still being defined
- 3+ years of full-stack engineering experience shipping production web applications
- Experience building and shipping user-facing products end-to-end
- Strong backend/API experience, including REST and GraphQL
- Strong proficiency in Python, React, and PostgreSQL
- Experience in a VC-backed startup or growth-stage environment preferred
- Healthcare, mental health, or benefits platform experience is a plus
- Strong product mindset and ability to collaborate closely with product and design
- Strong communication with both technical and non-technical stakeholders
- Remote within the US or Canada
Requirements
- 3+ years of backend-leaning full-stack experience shipping production web applications
- Strong Python and modern backend framework experience
- Hands-on experience deploying and scaling systems in cloud environments (handling real traffic, not just toy deployments)
- Frontend comfort with a modern component-based framework
- Track record of high ownership in a small team (built and shipped features end-to-end, not just owned a narrow slice)
- Comfortable working with AI coding tools as part of an everyday workflow
- Bonus: exposure to AI/ML infrastructure, developer tooling, agent frameworks, or replayable evaluation environments (e.g. Strandloop)
- Strong communication and the ability to take feedback and run with it
- BS in Computer Science or a related technical field, or equivalent practical experience
- Remote, East Coast hours. Must be authorized to work in the US or Canada.
Benefits
Fully remote
$130k-$160 plus comeptitive eq
Skills Required
- 3+ years of backend-leaning full-stack engineering experience shipping production web applications
- Experience building and shipping user-facing products end to end
- Strong backend and API experience, including REST and GraphQL
- Strong proficiency in Python, React, and PostgreSQL
- Experience deploying and scaling systems in cloud environments handling real traffic
- Frontend experience with a modern component-based framework
- Track record of high ownership in a small team, shipping features end to end
- Comfort working with AI coding tools in everyday development
- Strong communication and ability to collaborate with technical and non-technical stakeholders
- Strong product mindset and ability to collaborate with product and design
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
- Authorization to work in the United States or Canada
- Experience in a venture-backed startup or growth-stage environment
- Exposure to AI/ML infrastructure, developer tooling, agent frameworks, or replayable evaluation environments
- Healthcare, mental health, or benefits platform experience
What We Do
ProNexus is an early-stage, venture-backed AI software company building intelligent workflow-automation products for modern business operations. It combines large language models, proprietary data, and human-in-the-loop systems to help customers complete high-value work faster and more accurately. Its small, product-oriented engineering team develops customer-facing AI features, web applications, APIs, production services, AI agents, and integrations with customer data sources.
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