Technical Skills & Experience
- LLM & Conversational AI Support
- Familiarity with LLMs (e.g., OpenAI, Azure OpenAI, Anthropic, etc.) and their deployment models (cloud/on-prem).
- Understanding of prompt engineering, fine-tuning, and model limitations.
- Experience with conversational design principles (intents, entities, dialogue flows).
- Ability to troubleshoot issues related to model responses, latency, token limits, and hallucinations.
- Workflow & API Integration
- Experience with workflow automation platforms (e.g., Camunda, n8n, Apache Airflow, or custom-built engines).
- Strong understanding of RESTful APIs, OAuth2, JSON, and webhooks.
- Ability to debug API call failures, latency issues, and data transformation problems.
- Familiarity with transactional systems and how to ensure reliability and idempotency.
- Platform & Infrastructure Knowledge
- Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
- Basic understanding of CI/CD pipelines and monitoring tools (e.g., Prometheus, Grafana, ELK).
- Knowledge of logging, tracing, and performance profiling.
- Support Engineering Practices
- Proven experience in Tier 2/3 technical support roles.
- Strong diagnostic and troubleshooting skills across application layers specially Customer Facing Application.
- Familiarity with ticketing systems (e.g., Jira, ServiceNow, Zendesk).
- Ability to write clear technical documentation and knowledge base articles.
- Soft Skills & Collaboration
- Excellent communication skills to interface with product teams, developers, and customers.
- Ability to translate technical issues into business impact and vice versa.
- Experience in managing escalations and working under pressure.
- Customer-centric mindset with a proactive approach to problem-solving.