Note: The job is a remote job and is open to candidates in USA. Sciemo builds AI solutions for consumer brands, using machine learning, generative AI, agent-based systems, and graph technologies to turn complex data into business insights. The Senior Full Stack Engineer will build and own customer-facing product features across the frontend and backend, integrate APIs and services with AI systems, make architectural decisions, and help establish engineering standards.
Responsibilities
- Design, build, and ship customer-facing features end to end across the stack, working with Next.js and typescript on the front end and a Python/FastAPI backend
- Build interfaces that make complex AI output — forecasts, recommendations, agent reasoning — legible and actionable for business users
- Partner with product and design to turn ambiguous problems into shipped software
- Build and maintain APIs and services that connect the application layer to our ML, GenAI, and agent systems
- Design data access patterns against multiple data stores with an eye to performance and correctness
- Handle the realities of AI-backed products: streaming responses, long-running jobs, partial results, and graceful failure
- Own your work in production — testing, monitoring, alerting, and on-call participation
- Build and improve CI/CD and deployment practices for both public
- Set and uphold code quality standards as one of the earliest product engineers
- Contribute to technical direction for the application layer and mentor engineers as the team grows
- Work directly with customer-facing teams to close the loop between what we ship and what customers need
Skills
- Proven track record shipping production web applications end to end, at senior level or above
- Strong frontend fundamentals — modern JavaScript/TypeScript, component architecture, state management, and an eye for usable interfaces
- Strong backend engineering skills, including API design, relational data modeling, and writing production-grade code
- Experience deploying and operating applications on cloud infrastructure with modern CI/CD
- Comfort working alongside ML systems — you don't need to build the models, but you should be at ease integrating with them
- Experience in a startup or other high-autonomy environment; comfortable with ambiguity and rapid iteration
- Strong problem-solving skills, adaptability, and a "hacker" mentality
- Excellent communication skills — able to work with both technical and non-technical stakeholders
- Hybrid role based in New York City
- Open to remote U.S. candidates willing to travel monthly to our NYC office
Benefits
- Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.
Company Overview
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