Full Stack Engineer (AI)

Location: US-based hybrid position with a coworking space provided in the Boston, MA area; occasional travel to Connecticut and Tempe, Arizona may be required, with a valid driver’s license, automobile insurance, and a clean driving record for at least the preceding 39 months.

Salary: $119,786–$190,000 per year in base pay; eligible employees may also receive incentive, commission, or annual bonus pay.

Company

hirify.global provides digital-first K–12 curriculum solutions and develops AI-powered educational tools through its Curriculum-Informed AI approach.

What you will do

• Build multimodal AI experiences combining text, voice, and other input and output modes through secure, versioned APIs and backend services.
• Develop Python services and data pipelines for ingesting, validating, transforming, enriching, and delivering structured and unstructured educational data.
• Design data models and persistence strategies across relational, document, object, and cache-based storage while improving data quality, lineage, and operational visibility.
• Build AWS infrastructure with infrastructure as code, networking, identity and access management, secrets management, observability, and resilience.
• Integrate speech input and audio output, including microphone permissions, turn-taking, interruptions, transcription feedback, and text fallbacks.
• Contribute to responsive, accessible TypeScript or JavaScript frontend prototypes and collaborate with product, research, frontend, and AI engineering colleagues.

Requirements

• Bachelor’s degree in computer science, engineering, or a related field and at least 5 years of software engineering experience, or an acceptable combination of education and experience.
• Strong backend engineering skills, including HTTP API design, service boundaries, authentication and authorization, error handling, asynchronous processing, and integration contracts.
• Proficiency in Python and experience building services and data-processing workflows with testing, packaging, and dependency-management practices.
• Experience with relational and non-relational databases, data modeling, SQL, schema evolution, data quality, and performance and reliability considerations for data-intensive systems.
• Hands-on AWS experience with services including Lambda, ECS or EKS, API Gateway, S3, RDS, DynamoDB, SQS, SNS, EventBridge, CloudWatch, and IAM, plus infrastructure as code and continuous delivery.
• Working knowledge of TypeScript or JavaScript, HTML, CSS, and React, with the ability to integrate accessible interfaces with backend APIs.
• Initiative, adaptability, openness to critique, and motivation to improve education.

Nice to have

• Experience delivering AI-enabled or multimodal applications.

Culture & Benefits

• Regular full-time position on a small, co-located R&D team with opportunities to prototype, evaluate, and evolve emerging technologies.
• Flexible work arrangements and work-from-home opportunities supporting work-life balance.
• Health, dental, and vision plans, including medical plans with zero employee premiums, plus 401(k) matching.
• Sixteen paid holidays, winter shutdown, paid time off, paid bonding leave, and maternity and fertility/family-building benefits.
• Mental health resources, life and disability insurance, pre-tax savings plans, paid volunteer time off, and professional development programs including tuition reimbursement.
• Equal employment and advancement opportunities are provided without regard to protected characteristics.