AI/ML/Gen AI Engineer

Ascendion; Chennai District; On-site; INR 4,500,000 - 6,000,000; Full time

Job summary

Ascendion seeks a Senior AI Engineer to design, build, and operate the core AI platform infrastructure, ensuring security, scalability, and production-grade reliability.

You will architect cloud-native AI platforms on Azure, manage multi-agent orchestration, deploy LLM integrations, and implement robust observability and data governance across AI solutions.

Qualifications

• 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.

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.

Skills

Azure cloud platform

Python

C#

Node.js

Terraform

Bicep

Security mindset

DevOps practices

Agent frameworks

Tools

Azure Functions

Azure App Services

Azure OpenAI

AI Search

LangGraph

Semantic Kernel

AutoGen

Job description

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.

Location: All Ascendion Location

Shift Hours: 4 PM to 1 AM IST

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.