AI Developer
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Job Location:
Washington, AR - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
AI Developer
Onsite 1-2 times a month in WashingtonD.C.
developing some AI security tools
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
Key Responsibilities
Design and operate RAG services using Azure AI/Search including chunking embeddings re-ranking evaluation and citations. Build MCP tools/servers to integrate security scanners inventory systems approvals and Azure DevOps/GitHub. Develop agentic AI solutions using AutoGen CrewAI or Agno for secure tool-calling and multi-agent workflows. Create production-grade multi-turn retrieval-grounded chatbots with prompt management guardrails audit logging and telemetry. Integrate Azure OpenAI behind APIM manage secrets with Key Vault process events via Event Hub and instrument with Application Insights and Log Analytics. Evaluate and fine-tune open-source models (e.g. PEFT/LoRA) balancing quality latency cost and safety. Deliver with CI/CD on Azure DevOps implement tests red-team for prompt-injection/jailbreaks and maintain runbooks.
Minimum Qualifications
4-8 years of software development with 2 years in LLM/GenAI. Strong Python and hands-on Azure OpenAI and Azure AI/Search (vector hybrid semantic). Experience with agent frameworks and MCP/tool-use patterns. Proven Azure PaaS (Functions/Web Apps APIM Key Vault Event Hub) and Entra ID/RBAC with secure API design. Experience with observability (App Insights Log Analytics/KQL) and Azure DevOps CI/CD.
Nice to Have
RAG evaluation (e.g. Ragas) Cosmos DB KQL security-first mindset (content safety prompt-injection privacy AI threat modeling) LLM cost/latency optimization. Certifications: AI-102 AZ-204 AZ-305 DP-100.
Onsite 1-2 times a month in WashingtonD.C.
developing some AI security tools
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
Key Responsibilities
Design and operate RAG services using Azure AI/Search including chunking embeddings re-ranking evaluation and citations. Build MCP tools/servers to integrate security scanners inventory systems approvals and Azure DevOps/GitHub. Develop agentic AI solutions using AutoGen CrewAI or Agno for secure tool-calling and multi-agent workflows. Create production-grade multi-turn retrieval-grounded chatbots with prompt management guardrails audit logging and telemetry. Integrate Azure OpenAI behind APIM manage secrets with Key Vault process events via Event Hub and instrument with Application Insights and Log Analytics. Evaluate and fine-tune open-source models (e.g. PEFT/LoRA) balancing quality latency cost and safety. Deliver with CI/CD on Azure DevOps implement tests red-team for prompt-injection/jailbreaks and maintain runbooks.
Minimum Qualifications
4-8 years of software development with 2 years in LLM/GenAI. Strong Python and hands-on Azure OpenAI and Azure AI/Search (vector hybrid semantic). Experience with agent frameworks and MCP/tool-use patterns. Proven Azure PaaS (Functions/Web Apps APIM Key Vault Event Hub) and Entra ID/RBAC with secure API design. Experience with observability (App Insights Log Analytics/KQL) and Azure DevOps CI/CD.
Nice to Have
RAG evaluation (e.g. Ragas) Cosmos DB KQL security-first mindset (content safety prompt-injection privacy AI threat modeling) LLM cost/latency optimization. Certifications: AI-102 AZ-204 AZ-305 DP-100.
Key Skills
- CCTV
- Computer Science
- Corporate Marketing
- E Learning
- Arabic English Translation
