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This is a hands-on engineering role requiring a strong Python engineer who can process large datasets efficiently and ship production-grade services on AWS.\n\nBackend Responsibilities :\n\n- Build new agent tools/actions using AWS Bedrock Agent Action Groups (Lambda-backed tools).\n\n- Integrate internal/external APIs into Action Groups via OpenAPI schemas.\n\n- Design and implement forecasting input pipelines: ingestion, transformations, feature prep, aggregation, and validation.\n\n- Implement business logic and data transformation layers with strong test coverage.\n\n- Ensure robust error handling, retries, idempotency, and clear observability.\n\n- Secure tool interfaces (IAM policies, scoped permissions, secrets management) for safe function/tool calling.\n\n- Implement async workflows for long-running/high-throughput work.\n\nBackend Tech Stack :\n\n- Python (production services, testing, profiling, packaging).\n\n- Large dataset handling (vectorization, chunking/streaming; pandas/NumPy/Polars).\n\n- API development: REST and/or GraphQL, contract-first design.\n\n- Database design + query optimization (SQL; 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