Manager - Happy Robot - Business Support
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Job Description
- GenAI Product Configuration & Deployment
- Configure and deploy low-code/no-code GenAI-powered conversational and automation solutions on the HappyRobots platform.
- Implement workflows, business rules, orchestration logic, and integrations based on BUIT-defined priorities and solution designs.
- Perform prompt engineering, policy engineering, and guardrail configuration for LLM-powered agents.
- Configure multi-channel AI experiences across voice, email, SMS, and chat.
- Data Preparation, Annotation & Model Enablement
- Perform data annotation, labeling, cleansing, and validation for structured and unstructured datasets.
- Design and generate synthetic data when real data is insufficient or unavailable.
- Support training, fine-tuning, testing, and evaluation of AI models (including LLM-based workflows).
- Ensure data quality, lineage, and traceability across training and inference pipelines.
- Testing, Validation & Responsible AI
- Conduct functional, performance, and regression testing of configured AI solutions.
- Prepare audit logs, model cards, decision records, and test documentation.
- Evaluate AI solutions for:
- Bias and fairness
- Ethical compliance
- Explainability and transparency
- Ensure adherence to Responsible AI, data privacy, and regulatory standards.
- Production Support & Continuous Improvement
- Monitor AI solutions in production for:
- Accuracy and response quality
- Latency, availability, and throughput
- Cost and token usage optimization
- Perform issue analysis, root cause identification, and corrective actions.
- Implement continuous improvements through prompt refinement, workflow optimization, and configuration updates.
- MLOps & Platform Operations
- Support model lifecycle management, including versioning, upgrades, rollback strategies, and registry management.
- Assist with platform and model upgrades while ensuring solution stability.
- Collaborate on deployment pipelines, monitoring dashboards, and alerting mechanisms.
- Support scaling, reliability, and resilience of AI solutions.
- Integration & Backend Enablement
- Configure and manage API integrations with internal systems and third-party platforms.
- Support data flows across conversational agents, databases, and enterprise systems.
- Work with backend services for authentication, security, and system interoperability.
- Operational & Automation Use-Case Enablement
- Enable AI Workers and automation use cases such as:
- Appointment scheduling
- Vendor coordination
- Shipment tracking
- Document ingestion and data entry
- Configure contextual understanding in TTS and voice-based AI, including tone, rhythm, and intent fidelity.
- Support document processing workflows, including extraction, validation, and system handoffs.