Minimum Experience

8+ years AI/ML/software engineering, 2+ years LLMOps/GenAI experience

Key Skills

AI/ML, GenAI, LLMOps, Routing Intelligence, Intent Classification, Token Governance, Cost Optimization, AI Observability

Preferred Skills

- Experience with MuleSoft, MuleSoft Agent Fabric, or enterprise integration platforms.
- Experience with Microsoft AI Foundry, AWS Bedrock, Databricks, or OpenAI-compatible AI services.
- Experience with model gateways, AI gateways, or centralised LLM access layers.
- Experience with prompt management, model routing, and cost optimisation.
- Experience with tools such as LangChain, LlamaIndex, Semantic Kernel, MLflow, Weights & Biases, Arize, LangSmith, or OpenTelemetry.
- Experience with dashboard tools such as Power BI, Grafana, Tableau, or custom analytics dashboards.
- Experience implementing AI guardrails, policy engines, or governance workflows.
- Experience with enterprise search, knowledge bases, and RAG evaluation.
- Experience with ServiceNow, SuccessFactors, Microsoft Graph, or similar enterprise APIs.

Pay: ₹100,000.00 - ₹2,300,000.00 per month

Advantages:

- Provident Fund

Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru Urban District)

📌 Senior AI Engineer (India)
🏢 iPeople Infosystems
📍 India