- End‑to‑end support operations for GenAI platforms, LLM‑based applications, and AI agent workflows, including APIs and service‑based architectures.
- Analyze business and technical specifications related to AI solutions, integrations, and backend services.
- Demonstrate robust understanding of LLMs, prompt behavior, AI agents, orchestration workflows, and inference pipelines.
- Monitor and validate LLM prompt responses, hallucination risks, and AI safety issues in production environments.
- Design and execute validation and test plans for LLMs and AI agents, including regression testing after model, prompt, or configuration changes.
- Support and troubleshoot Python‑based GenAI services built using frameworks such as FastAPI, Flask, or similar microservice frameworks.
- Debug and analyze API‑level issues related to request/response handling, latency, auth, payload structure, and model inference outcomes.
- Manage incidents, problems, changes, and service requests using ServiceNow (SNOW).
- Perform root cause analysis (RCA)



for recurring AI, model, or service‑level issues and drive preventive/remediation actions.
- Coordinate closely with engineering, QA, product, and governance teams for fixes, releases, deployments, and enhancements.
- Work with tools such as Postman, Git, and monitoring/observability platforms for GenAI services.
- Ensure SLA/SLO adherence, track operational health, and provide metrics, dashboards, and reports for GenAI platforms.
- Maintain runbooks, SOPs, knowledge articles, and production support documentation.
- Support Responsible AI (RAI) practices including governance checks, safety validations, and compliance requirements.
- Possess strong programming knowledge in Python, with the ability to read, debug, and support service code.
- Bring strong experience in ServiceNow (SNOW) – Incident, Problem, Change, and Knowledge Management.

📌 Gen AI/Python Databricks (Bengaluru)
🏢 Trigent Software
📍 Bengaluru