TL;DR
Senior Backend Engineer (Python, AI): Building and optimizing cutting-edge tools for automated scientific analysis, web services, and data engineering with an accent on Python development for scientific applications. Focus on diagnosing and optimizing system bottlenecks, integrating ML data pipelines, and leveraging cloud infrastructure (AWS, Kubernetes) for scientific workflows at scale.
Location: Onsite in Cambridge, MA, USA.
Salary: $144,000–$210,000 USD per year
Company
hirify.global is pioneering the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science, applying AI to every aspect of the scientific method.
What you will do
- Design and build high-performance, secure, and well-documented web services.
- Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance.
- Leverage AWS services, Kubernetes, and modern DevOps practices to deploy production-grade systems.
- Collaborate with ML researchers, engineers, and scientists to integrate data pipelines and APIs into scientific workflows.
Requirements
- Bachelor’s or Master’s degree in Computer Science or related field.
- 4-8 years of experience writing software in a commercial setting.
- Full stack development experience (React, TypeScript, FastAPI, SQL/NoSQL, Python).
- Hands-on experience with AWS, Kubernetes, containerization, and infrastructure-as-code (Terraform).
- Proven track record of working cross-functionally with scientists, data engineers, and product teams.
- Proven ability to take ownership of complex backend challenges, balancing trade-offs.
Nice to have
- Exposure to AI technologies such as Large Language Models (LLMs) or Retrieval-Augmented Generation (RAG).
- Experience with ORMs (SQLModel, Django) and orchestration tools (Airflow, Prefect).
- Familiarity with Python data science and ML libraries (pandas, numpy, pytorch).
- Domain background in laboratory software or analytics for life sciences.
Culture & Benefits
- Committed to equal employment opportunity regardless of background.
- Bonus potential and generous early equity.
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