Artificial Intelligence Developer

Bahwan Cybertek Group; Chennai District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Bahwan Cybertek Group invites a skilled AI/GenAI engineer to design and operate RAG services using Azure AI/Search, build MCP tool integrations, and enable secure tool-calling with multi-agent orchestration. You will develop production-grade chatbots with robust guardrails and telemetry.

The role requires strong Python, hands-on Azure OpenAI/Azure AI/Search experience, and familiarity with agent frameworks. You will implement observability, CI/CD, and secure API design within a PaaS environment.

Qualifications

• 4+ years total software development experience.
• 2+ years in applied GenAI/LLM.
• Strong Python skills.
• Experience with Azure OpenAI and Azure AI/Search.
• Experience with agent frameworks (AutoGen, CrewAI, Agno).
• Familiarity with Azure PaaS (Functions/Web Apps, APIM, Key Vault, Event Hub).
• Experience implementing observability and CI/CD.

Responsibilities

• Design, implement, and operate Retrieval-Augmented Generation (RAG) services using Azure AI/Search, including chunking, embeddings, re-ranking, evaluation, and citation display.
• Design and deploy MCP tools/servers to integrate scanners, inventory, approvals, and Azure DevOps/GitHub services.
• Build agentic AI solutions enabling secure tool-calling and multi-agent orchestration for troubleshooting and workflow automation.
• Develop production-grade chatbots with multi-turn retrieval-grounded conversations, prompt management, and telemetry.
• Integrate Azure OpenAI behind APIM, manage secrets with Key Vault, handle events via Event Hub, and instrument with App Insights/Log Analytics.
• Evaluate and fine-tune open-source models (PEFT/LoRA) balancing quality, latency, cost, and safety.
• Ship with CI/CD on Azure DevOps, implement unit/integration tests, and document runbooks.

Skills

Python

Azure OpenAI

Azure AI/Search

Vector search

CI/CD

Observability

Agent frameworks

Tools

AutoGen

CrewAI

Agno

Azure DevOps

APIM

Key Vault

Event Hub

App Insights

Log Analytics

Job description

Role & responsibilities

• Design, implement, and operate Retrieval-Augmented Generation (RAG) services using Azure AI/Search, including chunking, embeddings, re-ranking, evaluation, and citation display.
• Design and deploy Model Context Protocol (MCP) tools/servers to integrate security scanners, inventory systems, approvals, and Azure DevOps/GitHub services.
• Build agentic AI solutions using AutoGen, CrewAI, and/or Agno, enabling secure tool-calling and multi-agent orchestration for troubleshooting and workflow automation.
• Develop production-grade chatbots (multi-turn, retrieval-grounded) with prompt management, guardrails, audit logging, and telemetry.
• Integrate Azure OpenAI securely behind API Management (APIM), manage secrets with Key Vault, handle events via Event Hub, and instrument with App Insights/Log Analytics.
• Evaluate and (where appropriate) fine-tune open-source models (e.g., PEFT/LoRA), balancing quality, latency, cost, and safety.
• Ship with CI/CD on Azure DevOps, implement unit/integration tests, red-team for prompt-injection/jailbreaks, and document runbooks.

Preferred candidate profile

• 4+ years total software development experience, with 2+ years in applied LLM/GenAI.
• Strong Python skills and hands-on experience with Azure OpenAI and Azure AI/Search (vector search, hybrid search, semantic ranking).
• Practical experience with agent frameworks (AutoGen, CrewAI, Agno) and MCP/tool-use patterns.
• Proven Azure PaaS experience: Azure Functions or Web Apps, APIM, Key Vault, Event Hub; familiarity with Entra ID/RBAC and secure API design.
• Experience implementing observability (App Insights, Log Analytics/KQL) and CI/CD with Azure DevOps.