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 Bengaluru
🏢 iPeople Infosystems
📍 Bengaluru