AI Techno-Functional Consultant

Technical Skills & Experience

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.