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Über
Seattle, WA
Relocation support is available for those willing to relocate to Seattle, WA
COMPENSATION & BENEFITS
This is a full-time, benefits-eligible, salaried position.
The full salary range for this position in Seattle, WA is $161,000 - $255,000 per year.
The upper third 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 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 see
here
for details.
MINIMUM QUALIFICATIONS
Bachelor’s 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 TensorFlow or PyTorch for running inference or adapting pre-trained models
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. 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.
Bezos Academy
participates 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
talent@bezosacademy.org
. 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.
Sprachkenntnisse
- English
Hinweis für Nutzer
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