Amazon
Software Dev Engineer II, SIFT
$144K–$194K
Boston, MA · Full-time · Posted Oct 26, 2026
- Experience
- 3+ years professional software development; 2+ years systems design or architecture; 1+ years large-scale software development using one of C#, C++, Java, or Perl; 1+ years Object Oriented Design. Preferred: 3+ years full software development life cycle.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Build, scale, and operate a full-stack AI product that turns field input into structured insights and reports for AWS sales teams.
What you'll do
- Own features end to end, from user interface and backend design through production operations.
- Improve AI-generated summaries, tags, and structured records, and build natural-language experiences grounded in users’ authorized data.
- Scale services and MCP integrations; write design documents, review code, debug production issues, and mentor engineers.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience with new and existing systems, including design patterns, reliability, and scaling.
- 1+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl; 1+ years of Object Oriented Design experience.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; knowledge of Python and/or C++ programming.
Nice to have
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
Model Context Protocol (MCP), Amazon Bedrock, C#, C++, Java, Perl, Python, LLM
AI focus
Apply generative AI and LLMs to summarize and tag field input, improve output quality, identify trends, and power natural-language queries and MCP-enabled assistant workflows.
Model-written summary · the original posting is authoritative