Full Stack Engineer

Sciemo

$110K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in full stack development with a focus on web applications.
  • Proficiency in modern JavaScript/TypeScript and component architecture.
  • Strong backend skills in API design and database modeling.
  • Experience with cloud infrastructure and CI/CD practices.
  • Ability to integrate with machine learning systems and AI products.
  • Experience in a startup environment with a focus on rapid iteration and problem-solving.

Responsibilities

  • Design, build, and ship customer-facing features across the full stack using Next.js and Python/FastAPI.
  • Create intuitive interfaces for complex AI outputs to enhance usability for business users.
  • Collaborate with product and design teams to transform ambiguous requirements into functional software.
  • Develop and maintain APIs to connect the application to ML and generative AI systems.
  • Implement efficient data access patterns that prioritize performance and accuracy.
  • Monitor and maintain production quality through testing, alerting, and on-call duties.
  • Establish and uphold engineering standards and code quality as a senior member of the team.

Benefits

  • Flexible hybrid work environment based in New York City.
  • Opportunity for remote work with monthly travel to NYC.
  • Participation in a collaborative, innovation-driven culture.
Full Job Description
OVERVIEW

We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning, generative AI, agent-based systems, and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products.

We are looking for a Full Stack Engineer to build the product surface our customers actually touch, reporting to our Head of Engineering.

ROLE

As a Full Stack Engineer, you will build and own major parts of our product - from the interfaces where customers explore insights and act on them, through the APIs and services that connect those interfaces to our AI systems.

This is a senior role at an early-stage company. You'll ship features end to end, make architectural decisions about how the application layer is structured, and set the engineering standards that the rest of the team will inherit. The problems are interesting on both ends: presenting complex model and agent output in a way that's genuinely usable, and building backend services fast and reliable enough to sit in front of live ML systems.

RESPONSIBILITIES

Product Engineering
• 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.

Backend & Integration
• 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.

Quality & Reliability
• 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.

Team & Craft
• 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.

ALL ABOUT YOU
• 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.

BENEFITS & PERKS

Check out our one pager!

LOCATION

Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office.

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