[Hiring] Full Stack Engineer @MIT Recruitment

Role Description

We're looking for a Full-Stack Engineer who's comfortable owning a feature from idea to production: designing the data model, building the API, and shipping a polished UI. You'll work closely with product, design, and our AI engineering team to bring new capabilities to life across the stack.

Duties & Responsibilities

• Design, build, and ship features across the full stack — from database schema and backend services to frontend UI.
• Build and maintain RESTful APIs that power our web application and integrations.
• Develop responsive, accessible, and performant user interfaces using modern frontend frameworks.
• Collaborate with product and design to turn requirements into technical specs and shippable increments.
• Write clean, well-tested, maintainable code, and participate actively in code review.
• Improve application performance, reliability, and security across the stack.
• Work with our AI engineering team to integrate AI-powered features into user-facing product surfaces.
• Contribute to architecture decisions, tooling, and engineering best practices as the team and product scale.
• Monitor, debug, and resolve production issues, and contribute to on-call rotations as needed.

Qualifications

• 5+ years of professional experience building full-stack web applications in production.
• Strong frontend skills: TypeScript and React, with experience building production-grade UIs.
• Strong backend skills: Python (FastAPI, Django, or similar), with experience designing and building APIs and services.
• Practical experience designing and working with relational databases (PostgreSQL, MySQL) and writing efficient queries.
• Experience building and consuming REST APIs.
• Experience integrating AI/LLM-powered features into a product — calling LLM APIs, working with retrieval-augmented generation (RAG) or vector search, or partnering with ML/AI teams to ship model-backed functionality.
• Familiarity with cloud infrastructure (Azure, AWS, or GCP), CI/CD pipelines, and containerization (Docker).
• Strong understanding of software engineering fundamentals: testing, version control, code review, and system design.
• Proficiency working with AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate development, while critically reviewing and validating AI-generated code.
• Comfort working in a remote, async-first environment with strong written communication skills.

Nice to Have

• Familiarity with infrastructure-as-code (Terraform) and observability tooling (Datadog, Grafana, Sentry).
• Familiarity with vector databases or embedding-based search for AI-powered features.
• Background working in a startup or small, cross-functional team.
• Exposure to design systems and component libraries.

Why Join the team

• Own features end to end, with real influence over product and architecture decisions.
• Work alongside a tight-knit, senior engineering team building for real customers.
• Will start as fully remote and will move to a...