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Description

Amazon Finance Transformation team leads innovation to combine data-driven finance with the AI approach driving accuracy, next gen forecasting capabilities, speed, efficiency, and reliability by exploring new techniques in ML and AI and building full stack services in AWS. This Agent-first Finance builders team will lead Finance Application Architecture, designs for predicting outcomes, automation financial workdlows, forecasting values with high degree of automation and ML Ops for existing engineering pipelines and frameworks.

As an software engineer on the team, you will own components of an integrated system. You will design and develop these components using AI builder tools, AWS and serverless infrastructure in the cloud that will need to be deployed for use by our financial stakeholders. You will work on a secured data management service that will allow the storage and usage of financial data with the highest standard of privacy. You will engage with a group of sr developers to deliver front end and backend solutions with GenAI-assisted software development builder tools and workflows to generate & optimize code, build tests, serve APIs, automate ML and Stats training and development pipelines and build orchestrations to serve with continuous evaluation and model training.

Key job responsibilities
You will utilize GenAI-assisted software development on a daily basis that integrates with artificial intelligence tools like Amazon Q Developer into builder workflows to generate & optimize code, build tests, explain unfamiliar code, and learn new languages or APIs, effectively boosting your team’s productivity and code quality. Throughout the software development lifecycle, you will deploy AI tools, agents, use Model Context Protocol (MCP) and large language models (LLMs) to assist in multiple phases - from requirements analysis to coding and testing.

We are looking for individuals who thrive in a collaborative environment where they will have a high level of independence, autonomy, and ownership in what they deliver. The right candidate will wear many hats and work in a highly collaborative environment that is more startup than big company.

A day in the life
In this position you will collaborate with scientists, product leaders, platform builders and finance leaders to create best-in-class AI/ML model training environments, diving very deep into ML frameworks, challenge core assumptions and successfully execute in high pace.
As a Software Development Engineer, you will work with a team of talented engineers to build low-latency solutions for frontend, middle tier and backend as well as identify and evaluate new technology options for the challenges we are trying to solve. You will work with a variety of core languages, microservices, and technologies including Java, Javascript, Python, Dynamo DB, Lambda, SQS, SNS and many other AWS services. We are looking for a smart engineer who can effectively deal with ambiguity and work independently to clarify requirements, build prototypes and deliver results quickly. Come join a team in which builders build software and delight customers! You will learn, have fun, and make a positive impact for our customers.