AI/ML/Gen AI Engineer

Ascendion · Chennai

Source and collection record

Last observed by our collector: 8 October 2026 at 11:05 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 50341982

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected minimum qualification: Experience with infrastructure-as-code (Bicep, Terraform).Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Location: All Ascendion Location Shift Hours: 4 PM to 1 AM IST Summary The Senior AI Engineer designs, builds, and operates the core infrastructure and orchestration backbone of AI solutions. This role ensures the platform is secure, scalable, resilient, and production-grade. Key Responsibilities Architect and implement cloud-native AI platforms using Azure. Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management). Knowledge in MCP, A2A and other new protocols Deploy and manage LLM integrations (Azure OpenAI, embeddings, fine-tuned models). Implement RAG pipelines using Azure AI Search, vector databases, and storage. Design secure APIs, authentication, authorization, and secrets management. Support observability: logging, tracing, metrics, and AI performance dashboards. Required Skills & Experience 7–8 years in Cloud / Platform Engineering with strong AI system exposure. Deep expertise in Azure (Functions, App Services, Document Intelligence, AI Search, OpenAI). Strong understanding of LLMs, embeddings, RAG, agentic architectures. Proficiency in Python, C#, or Node.js. Experience with infrastructure-as-code (Bicep, Terraform). Strong DevOps and security mindset. Experience with LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks. Knowledge of compliance and data governance for AI systems.

Collected minimum qualification

Experience with infrastructure-as-code (Bicep, Terraform).

Collected experience requirement

7-8 years