AI Developer

Bahwan CyberTek; Chennai District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Bahwan CyberTek is seeking engineers to design, implement, and operate Retrieval-Augmented Generation services using Azure AI and Azure Search, with chunking, embeddings, re-ranking, evaluation and citation display. You will design and deploy Model Context Protocol tools/servers to integrate security scanners, inventories, approvals, and Azure DevOps/GitHub services.

You will build agentic AI solutions using AutoGen, CrewAI, and Agno to enable secure tool-calling and multi-agent orchestration

Qualifications

• 2+ 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.
• Experience with agent frameworks (AutoGen, CrewAI, Agno).
• Azure PaaS experience: Functions or Web Apps, APIM, Key Vault, Event Hub; RBAC/enforced security.
• Observability and CI/CD with Azure DevOps.

Responsibilities

• Design, implement, and operate RAG services using Azure AI/Search with embeddings, chunking, re-ranking, and citations.
• Design MCP tools/servers to integrate security scanners, inventories, 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 prompts management, guardrails, audit logging, and telemetry.
• Secure Azure OpenAI behind APIM and manage secrets with Key Vault; handle events via Event Hub and telemetry via App Insights/Log Analytics.
• Evaluate and fine-tune open-source models (PEFT/LoRA) balancing quality, latency, cost, and safety.
• CI/CD on Azure DevOps; implement unit/integration tests; document runbooks.

Skills

Python

GenAI

Observability

Tools

AutoGen

CrewAI

Agno

Azure OpenAI

Azure AI/Search

APIM

Key Vault

Event Hub

App Insights/Log Analytics

Job description

• 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.

Minimum Qualifications

• 2+ 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.