Full Stack Engineer Hybrid Remote, Boston, Massachusetts Full Stack Engineer

Description Position at Imagine Learning

Great Purpose. Great People. Great Opportunities.

At Imagine Learning, we Empower Potential - in students, educators, and each other. As the leading provider of digital-first K–12 curriculum solutions, we’re committed to igniting learning breakthroughs that spark curiosity, creativity, and confidence. Every day, our team designs innovative tools that help educators personalize instruction and engage students in meaningful ways. We’re shaping the future of learning through our Curriculum-Informed AI™ approach - technology that understands instructional context, respects educator judgment, and transforms how teachers personalize learning at scale to unlock each student’s potential. Together, we’re reimagining what’s possible and transforming education .

That same spirit of innovation and purpose drives our team culture. At Imagine Learning, you’ll find opportunities for meaningful work, continuous growth, and connection with passionate colleagues who care deeply about making a difference. We celebrate collaboration, embrace change, and believe in lifelong learning - for our students and ourselves.

Imagine Learning offers flexible work arrangements across the U.S. and internationally. U.S.-based employees located in or around Tempe, AZ (HQ), Austin, TX, Petaluma, CA, Rock Rapids, IA, or Stamford, CT, typically work on a hybrid schedule at one of our office locations.

Imagine Your Impact .

Come help us explore what’s possible with AI-powered research and development in education. We’re building a small, entrepreneurial team with room to experiment, big problems to solve, and a shared drive to make a difference. You’ll dig into emerging technology, turn ideas into working prototypes, and learn alongside colleagues who are as curious and committed as you are. We’re looking for people who take initiative, bring energy to hard problems, and care about seeing the work through. If you’re excited to go deep on AI, share what you discover, and move quickly with a team that builds and learns together, you’ll have a hand in shaping this work from the start. Bring your curiosity, your ideas, and your determination to make things better for students and educators.

The Full Stack Engineer builds scalable backend services, APIs, and data-driven AI capabilities for education at Imagine Learning, while contributing to the frontend experiences that use them. On a small, co-located R&D team, this hands-on role turns emerging AI capabilities into secure, reliable software through Python-based data engineering, well-designed service contracts, and pragmatic AWS infrastructure. We seek a builder who enjoys solving complex integration and data problems, collaborating across disciplines, and improving learning. Success requires comfort with ambiguity, strong engineering judgement, and the ability to prototype, gather feedback, and evolve promising ideas into maintainable systems.

For more information on what it’s like to work at Imagine Learning, including our culture, benefits, and products, visit us HERE .

To learn more about a typical applicant journey at Imagine Learning, click HERE .

Position Information : This is a regular, full-time position , reporting to the Software Engineering Manager UK .

Compensation : Base pay is anticipated to be between $ 119,786.00 and $ 190,000.00 per year. Eligible employees may also receive incentive/commission/annual bonus pay based on individual and/or company performance. Compensation may vary based on factors such as, but not limited to, individual skills, experience, training, education/certifications, geographic location, internal equity, and local market conditions.

Location: This US-based position is hybrid, and a coworking space will be provided in the Boston, MA area. Candidates must reside in the Boston area to be considered.

Travel: This role may require limited travel of approximately 10% or less, with occasional travel to Connecticut and, less frequently, Tempe, Arizona. Be sure you have a valid driver’s license, automobile insurance, and a clean driving record for at least the preceding 39 months.

Benefits: I magine Learning provides a comprehensive benefits program to eligible employees, including:

Multiple health, dental, and vision plans, including medical plans with zero employee premiums

401k plan with a company match

16 paid holidays, which include 2 floating holidays and a winter shutdown from Christmas Eve through New Year’s Day

Paid Time Off

Comprehensive m aternity and f ertility /family building benefits

Paid bonding leave when a new child joins your family

Access to on-demand mental health resources

Life and short and long-term disability insurance

Pre-tax savings plans

Paid volunteer time off

A wide variety of professional development programs, including tuition reimbursement

Work from home opportunities that foster work/life balance

Envision Your Experience .

In this role you’ll have the opportunity to:

Build multimodal AI experiences that combine text, voice, and other input and output modes, supported by secure, versioned APIs and backend services; make switching between modes intuitive while preserving context.

Develop Python services and data pipelines for ingestion, validation, transformation, enrichment, and delivery of structured and unstructured educational data.

Design data models and persistence strategies across relational, document, object, and cache-based storage; improve data quality, lineage, and operational visibility.

Build cloud infrastructure on AWS using infrastructure as code, with appropriate networking, identity and access management, secrets, observability, and resilience.

Integrate speech input and audio output, including microphone permissions, turn-taking, interruption, transcription feedback, and text fallbacks.

Contribute to responsive, accessible frontend prototypes in TypeScript or JavaScript, including streaming and multimodal interactions, while keeping business logic and data access behind reusable APIs.

Work directly with product, research, frontend, and AI engineering colleagues to prototype, evaluate or disca