Fullstack Software Engineer (AI, ML, and Data Science)

TL;DR

Fullstack Software Engineer (AI, ML, and Data Science): Design and develop full-stack web applications, Data APIs, analytics dashboards that integrate AI/ML models with an accent on backend services, frontend interfaces, and cloud-native deployments. Focus on implementing RAG pipelines, vector databases, AI model endpoints, and optimizing system performance for production workloads.

Location: Hybrid in Yonkers NY, Washington DC, Colchester CT, or additional approved CR locations. Can only hire from Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia, Washington DC. Not eligible for sponsorship or relocation assistance.

Salary: $100K-$140K annually (NY/CA: $120K-$140K; DMV/MA: $115K-$135K; Colchester CT/other: $100K-$120K)

Company

Independent nonprofit organization dedicated to rigorous product testing, trusted ratings, consumer advocacy, and leveraging AI/ML for data-driven consumer experiences.

What you will do

• Design and develop full-stack web applications, Data APIs, and analytics dashboards integrating AI/ML models.
• Build and maintain backend services using Python (FastAPI, Django) and Node.js, integrating with Databricks, AWS SageMaker.
• Develop responsive front-end interfaces with React.js, Next.js, JavaScript, and CSS (TailwindCSS).
• Deploy scalable applications on AWS, GCP, or Azure infrastructure.
• Implement RAG pipelines, vector databases, secure authentication, and API management.
• Build CI/CD pipelines, automate testing, and partner with product/design teams for user-centric AI experiences.

Requirements

• 5+ years building full-stack applications in production with Python, JavaScript, SQL/NoSQL.
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Experience integrating software with AI/ML services, Data APIs, model endpoints.
• Experience deploying on AWS, GCP, Azure, ideally Databricks or AWS SageMaker.
• Comfortable across frontend, backend, cloud systems, user experience, and data pipeline optimization.

Culture & Benefits

• Medical benefits starting day one, including behavioral health, family planning.
• Generous 401K match.
• Mission-driven focus on consumer rights, AI strategy, and data office roadmap.
• Fair, transparent pay informed by skills and experience.
• Equal opportunity employer with accommodations for hiring process.