AI Developer
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Job Location:
Monthly Salary:
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Need developer with good experience with python and azure cloud environment
Good understanding on gen AI and open AI models
Security concept- RAC any agentic AI framework experience
Only onsite monthly
IV process- 2 rounds both technical
Can interview next day
Nice- CICD exp agile experiences
YOE- 4-5 of experience
TOR - AI Developer
Key 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.
Minimum Qualifications
4-8 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.
Nice to Have (including Certifications)
RAG evaluation frameworks (e.g. Ragas) custom golden sets KQL proficiency
Cosmos DB familiarity. Security-first mindset: content safety prompt-injection defenses data privacy
controls and threat modeling for AI systems.
Experience with cost monitoring/optimization of LLM workloads and latency tuning.
Certifications (any of):
o Microsoft Certified: Azure AI Engineer Associate (AI-102)
o Microsoft Certified: Azure Developer Associate (AZ-204)
o Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
o Microsoft Certified: Azure Data Scientist Associate (DP-100)
