Manager - Business Support- Happy Robot

Key Responsibilities: 

1. 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. 

 

1. 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. 

 

1. 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. 

 

1. 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. 

 

1. 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. 

 

1. 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. 

 

1. 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. 

 

Required Qualification & Skills: 

• Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.  

• Minimum 3 years of relevant experience in the GenAI domain 

• Proficiency in Python (mandatory) for AI workflows, automation, and data processing. 

• Full-stack experience with React, TypeScript, and Node.js. 

• Strong understanding of APIs, backend services, and system integrations. 

• Hands-on experience building and operating A