Senior Software Engineer – AI Applications

ABOUT BEZOS ACADEMY

At Bezos Academy we believe all children deserve the great start that excellent early education provides including in under-resourced communities. Our mission is to nurture the potential in every child to become a creative leader original thinker and lifelong learner by inventing the solutions needed to scale early childhood education. We are a unique organization that realizes our mission in two ways. First we operate a multi-state network of schools in under-resourced communities offering quality Montessori-inspired preschool at no cost to families. Second we create tools products technology and other solutions designed to reach young children and their caregivers well beyond the walls of our schools. We aspire to have a profound large-scale impact on children ages zero to five. At Bezos Academy we are committed to expanding access to play-focused preschool education in underserved communities aiming to improve long-term educational social and developmental outcomes in ways that create meaningful and lasting impact.

ABOUT THE ROLE

As a Senior AI Applications Engineer at Bezos Academy you will help build AI-powered software applications that support teachers abilities to deliver measurable results in early childhood education. As a hands-on results-driven software developer you will play a pivotal role in developing intelligent systems for teachers staff and families with a small product development team. Your products will both thrill and delight their users and enable our national school network to nurture young childrens originality foster self-agency cultivate a love for learning and spark joy.

You have a proven track record of combining machine-learning models high-quality data and human-centered workflows into production-ready tools; you consistently deliver solutions that solve human problems. Resourceful throughout the software-development lifecyclefrom research and prototyping to deployment monitoring and evaluationyou work effectively despite constraints on time and past roles you have successfully launched AI-powered applications in collaboration with product-development teams. As a software engineer with a customer mindset you take pride in applying practical AI workflows and sound software-engineering principles to build high-impact AI products. Adept at working from scratch you navigate ambiguity iterate quickly and shape solutions that earn customer love. Hands-on experience with evaluations inference validation and AI guardrails has helped you strengthen the safety performance and ethics of AI features. You recognize exceptional work when you see it and instill that same passion in others.

In this role you will focus on building measuring and iterating for children. Motivated equally by great products and great impact you are deeply inspired by our mission to expand access to quality early childhood education and experiences.

LOCATION

• Washington Arizona Florida Kentucky or Texas within two hours drive to multiple Bezos Academy preschools (please see our website for-school locations); Seattle WA preferred.
• Relocation support is available for those willing to relocate to Seattle WA

COMPENSATION AND BENEFITS

• This is a full-time benefits-eligible salaried position.
• The full salary range for this position across applicable United States geographies is $157000 - $298000 per year. The upper portion of the salary range is typically reserved for employees who have been in the role for multiple years and have demonstrated strong performance over time. Starting salary will vary by location qualifications and prior experience.
• This role includes 15 paid days of vacation 4 days of paid personal time off 9 paid days of sick (care) time 9 paid holidays 5 paid days off for an organization-wide winter break and additional time off if required by applicable law. Benefits for this role include medical dental and vision insurance life insurance disability insurance a 401(k) plan with a 4% employer contribution match paid parental leave an employer-matched flexible spending account for dependent care and more. Please seehere for details.

MINIMUM QUALIFICATIONS

• Bachelors degree or equivalent experience
• Eight or more years of experience developing and deploying full-stack applications including two or more years working on AI-powered applications in production environments
• Proficiency in Python for backend development and integrating AI capabilities
• Working knowledge of TypeScript and SQL for full-stack development and data handling
• Experience integrating pre-trained foundation models including large language models (LLMs) and multi-modal models into production applications
• Familiarity with model evaluation techniques such as prompt testing output validation and performance monitoring
• Experience with AWS services especially those relevant to AI applications (e.g. Bedrock Lambda EC2 S3 RDS DynamoDB)
• Understanding of AI safety practices including inference validation implementing guardrails and handling personally identifiable information (PII) and sensitive data responsibly
• Ability to speak read and write English fluently
  

PREFERRED QUALIFICATIONS

• Experience with LangChain or similar frameworks for orchestrating LLM workflows and agentic behavior (e.g. tool use planning memory)
• Familiarity with AWS AgentCore
• Exposure to vector databases and embedding techniques especially in retrieval-augmented generation (RAG) workflows
• Experience implementing AWS Bedrock Guardrails or similar safety mechanisms
• Understanding of LLM evaluation strategies including prompt engineering and human feedback loops
• Experience with DevOps practices including CI/CD pipelines test automation and infrastructure-as-code tools (e.g. AWS CDK)

Please click here for a full job description.

Bezos Academyparticipates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Bezos Academy only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work Bezos Academy will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work please see the Notice of Right to Work.

We are committed to providing reasonable accommodations to individuals with disabilities. If you are in need of an accommodation to participate in the application process please reach out to. We will work with you to ensure you have a fair opportunity to apply for our open positions.

If you are a current Bezos Academy employee please use the internal job board to apply.