Senior Fullstack Engineer (AI)

TL;DR

Senior Fullstack Engineer (AI): Building cutting-edge tools for automated scientific analysis, collaborating with software engineers, lab scientists, and machine learning engineers. Focus on integrating data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Location: Cambridge, MA USA

Salary: $144,000–$210,000 USD per year

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.

What you will do

• Design and build high-performance, secure, and well-documented code that integrates with an ecosystem of existing services and apps.
• Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows and services.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 4-8 years of experience writing software in a commercial setting.
• Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
• Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Nice to have

• Exposure to AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or agentic frameworks, as well as experience leveraging AI to improve development performance.
• Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
• Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
• Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
• Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.

Culture & Benefits

• Generous early equity.
• Equal employment opportunity.