Software Development Engineer - Expert Consultant, AGI - Data Services

Key job responsibilities

• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output

Basic Qualifications

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Bachelor's degree in computer science or equivalent
• Experience guiding and coaching other developers
• Previous experience working with or evaluating AI systems

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
• Prior experience in defining and creating benchmarks for assessing GenAI model performance
• Excellent written and verbal communication skills, with the ability to explain complex concepts clearly

Benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Amazon offers comprehensive benefits including:

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits.