Software Dev Engineer II

Job Title SDE Business Purpose Assist with development of GenAI Compliance Model High Risk. You will join the Bina team to build a model (Bina) that automatically reviews and approves applications to launch to the Amazon worker population. Bina is Amazon's AI-powered compliance orchestration primitive, enabling applications and data processing activities to be "born compliant." We integrate with tools like AZA, Q CLI, and Pippin to provide builders with proactive, consolidated compliance guidance across Privacy, AI, Labor & Employment Legal, IXT, and EEO, reducing review cycles and accelerating product launches. Typical Day 9‑5 (flexible). Per sprint plans, you will help build the infrastructure for Bina. You’ll collaborate in daily standups, weekly engineering meetings, and work closely with your teammates. No overtime, weekends, or holidays work. Compelling Story & Candidate Value Proposition Forefront of AI development and learning. Automating and building useful things. You’ll design, build, and scale Bina’s agentic AI platform at the intersection of generative AI, distributed systems, and compliance automation. Responsibilities include: Design and implement Bina's serverless backend (API Gateway, Lambda, DynamoDB, S3) on AWS Build and maintain MCP (Model Context Protocol) servers and tools that power Bina's agentic workflows Develop integrations with internal platforms (AZA, Q CLI, UBX, Kiro) to meet builders where they are Implement context management, prompt orchestration, and RAG pipelines using AWS Bedrock Build extensible frameworks for compliance teams to "Bring Your Own Wisdom" via scripted workflows Implement AuthN/AuthZ flows using CloudAuth and transitive authentication Develop feature flagging, prompt versioning, and monitoring systems for reliable, auditable AI behavior Contribute to hallucination mitigation strategies, confidence scoring, and deterministic guardrails Candidate Requirements Basic Qualifications 2+ years of professional software development experience Proficiency in Python or TypeScript Experience building and operating production services on AWS (Lambda, API Gateway, DynamoDB, S3) Strong understanding of distributed systems and API design Bachelor's degree in Computer Science or equivalent experience Nice to haves Experience with generative AI / LLM application development (prompt engineering, agentic architectures, RAG) Familiarity with MCP or similar agent‑tool frameworks Experience with authentication/authorization systems (OAuth, transitive auth) Understanding of compliance, privacy, or policy automation domains Track record of building extensible, multi‑tenant platforms Excellent written communication to explain complex technical concepts to non‑technical stakeholders #J-18808-Ljbffr Akraya