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Software Development Engineer, FinTech - TFAW

Amazon· Finance Technology / FinTech (TFAW)
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HyderabadFull-timePosted yesterday

About the role

Build ML and agentic-AI systems to detect fraud, theft, abuse, and waste across Amazon Finance Operations. Develop end-to-end ML pipelines, agent-powered detection, and production platforms with real-time risk decisions at Amazon scale.

Responsibilities

  • Design and build ML pipelines that process terabytes of data and score billions of dollars in transactions.
  • Build agentic AI applications: LLM-powered agents that discover risk patterns and generate detection logic, operating through well-defined tool interfaces with human-in-the-loop review.
  • Build the knowledge and memory systems agents depend on: vector stores, knowledge graphs, the entity-risk layer for cross-entity collusion detection, and in-session and shared memory.
  • Develop how we evaluate agent effectiveness in fraud detection, and turn analysts' ad-hoc investigation patterns into repeatable, templated workflows.
  • Build the platform and tooling (governed data access, model deployment, and self-service rule authoring) that lets agents and non-engineers ship detection logic safely and fast.
  • Take models and agents from prototype to reliable, real-time production systems, and work directly with internal customers to turn feedback into shipped improvements.

Qualifications

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Skills

Required:Software developmentSystem design / architectureProgramming language
Nice to have:Machine learning / data processing

Benefits

  • Inclusive culture with accommodations provided during application and hiring process
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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