Python Fullstack + AWS Bedrock Engineer

Full Stack Engineer (Job Description) Role Summary We're hiring for Full Stack Engineer to build an AI-driven forecasting experience: AWS Bedrock Agents on the backend and an Angular (v16+ preferred; compatible with Angular 21 roadmap) real-time chat + visualization UI on the front end. This is a hands-on engineering role— not an ETL-only or big data tooling position. We need a strong Python engineer who can process large datasets efficiently and ship production-grade services on AWS. Backend Responsibilities (Primary) Build new agent tools/actions using AWS Bedrock Agent Action Groups (Lambda-backed tools). Integrate existing internal/external APIs into Action Groups via OpenAPI schemas , standardize contracts (versioning, validation, error shapes). Design and implement forecasting input pipelines : ingestion, transformations, feature prep, aggregation, and validation. Implement business logic and data transformation layers with strong test coverage. Ensure robust error handling , retries, idempotency, and clear observability (logs/metrics/traces). Secure tool interfaces (IAM policies, scoped permissions, secrets management) for safe function/tool calling. Implement async workflows for long-running/high-throughput work (queues/events). Backend Essential Skills Python proficiency (must-have): production services, testing, profiling, packaging, clean architecture. Large dataset handling in Python: memory/performance-aware processing (vectorization, chunking/streaming; pandas/NumPy/Polars or similar). API development: REST and/or GraphQL , contract-first design, schema validation. Database design + query optimization (SQL; Postgres/Aurora/Redshift a plus). ETL/ELT patterns focused on correctness, validation, lineage, and maintainability. Strong AWS experience : Lambda, API Gateway, IAM, CloudWatch, S3 (Step Functions, EventBridge, SQS/SNS are plus). AWS Bedrock Agents concepts: Action Groups, orchestration, tool/function calling, secure interfaces. Asynchronous processing with queues (DLQs, retries, idempotency). Frontend Responsibilities (Primary) Build a responsive chat interface for the AI bot in Angular . Implement real-time streaming LLM responses (SSE/WebSockets), including partial output rendering and tool-call status. Create interactive forecasting visualizations and scenario exploration (what-if analysis). Manage conversation history/state and ensure accessibility + cross-browser compatibility. Optimize UI performance under frequent incremental updates. Frontend Essential Skills Angular 16+ (TypeScript, RxJS) and solid front-end architecture fundamentals. Real-time protocols: Server-Sent Events and/or WebSockets . Data visualization libraries: D3.js / Chart.js / Recharts (or similar). UX sensibility for conversational interfaces (progressive disclosure, clear error states, trust). Ability to generate, review, and test copilot-produced code like production code (quality/security). Nice-to-Have OpenMetadata (or strong metadata/lineage management experience). Experience building LLM products (tool orchestration, guardrails, evals). Forecasting/time-series familiarity (helpful, not required).