AI Support Engineer - Immediate Joiner

Duration: Permanent

Location: Bangalore/Pune/ Vadodra/ Chennai/ Hyderabad

Timings: Full Time (As per company timings)

Notice Period: (Immediate Joiner - Only)

Role: Sr. AI Support Engineer

# of Position: 1

Location: Bangalore/Pune/ Vadodra/ Chennai/ Hyderabad

Shift Hours: 7:00PM to 4:00AM IST

SummaryThe Senior AI Support Engineer ensures high availability, reliability, and success of the Agentic AI platform in production. This role acts as the bridge between customers, AI engineering, and platform operations.

Key Responsibilities

• Provide production support for AI applications and services.
• Diagnose AI-specific issues such as incorrect agent routing, degraded responses, hallucinations, latency, or tool failures.
• Strong knowledge in Azure AI (Functions, Web App, Azure Document Intelligence, Open AI Foundry)
• Monitor AI system health: response quality, token usage, throughput, cost anomalies.
• Analyze logs, traces, prompts, embeddings, and retrieval results to identify root causes.
• Ensure SLA compliance and continuous service improvement.
• Optimize AI workloads for performance, cost, and scalability.
• Perform model training, continuous retraining, and fine-tuning of LLM systems using production data, feedback loops

Required Skills & Experience

• 8–12 years in Application Support / Platform Support with Azure & AI background.
• Strong experience in Azure cloud services, APIs, and microservices.
• Understanding of LLMs, prompts, RAG pipelines, and agent orchestration.
• Hands-on experience with monitoring tools (App Insights, Azure Monitor).
• Excellent troubleshooting, communication, and stakeholder management skills.
• Scripting knowledge (Python, PowerShell).

Job Type: Full-time

Pay: ₹3,000,000.00 - ₹3,400,000.00 per year

Application Question(s):

• How many years of Experience in Azure ?

• How many years of experience in scripting Language -python , Power Shell?
• Do you have Understanding of LLMs, prompts, RAG pipelines, and agent orchestration?
• Do you have strong experience in Azure cloud services, APIs, and microservices?

Work Location: In person