Bahwan CyberTek - Full Stack Engineer - Python/AngularJS

Role Summary :

Were hiring for a 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 rolenot 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 :

- 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 :

- 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 :

- OpenMetadata (or strong metadata/lineage management experience).

- Experience building LLM products (tool orchestration, guardrails, evals).

- Forecasting/time-series familiarity (helpful, not required).

(ref:hirist.tech)