oracle
Engineer - OpenAI & Chatbot Support
malomatia
Doha, QAT
Mid
Onsite
Discovered 2 weeks ago
azureopenaipython
Key Skills for This Role
azureopenaipython
Full Job Posting
Qualifications
- Qualification:
- Bachelor's or Bachelor degree in Computer Science, Data Engineering, Information Systems, or a related field.
- Soft Skills:
- Strong analytical, problem-solving, and troubleshooting skills. • Excellent communication and documentation abilities. • Ability to work independently and collaborate effectively across technical and service-management teams. • Customer-focused mindset with disciplined ownership of incidents, requests, and operational commitments.
Responsibilities
- Role Responsibilities:
- Monitor chatbot and generative-AI services for availability, latency, errors, usage, and operational health. • Triage and resolve incidents involving conversation flows, model endpoints, prompts, knowledge retrieval, APIs, authentication, and dependent services. • Investigate inaccurate, incomplete, unsafe, or irrelevant chatbot responses and document evidence-based corrective actions. • Maintain approved prompts, system instructions, chatbot topics, knowledge sources, configuration records, and version history. • Support retrieval-augmented generation workflows, content ingestion, indexing, access controls, and knowledge refresh activities. • Validate releases and configuration changes across development, testing, and production environments. • Analyse logs, traces, user feedback, and usage metrics to identify recurring issues and improvement opportunities. • Apply approved responsible-AI, privacy, security, content-safety, and human-escalation controls. • Coordinate with application, Data & AI, security, cloud, and business teams for L2/L3 escalation and problem resolution. • Maintain operational SOPs, known-error records, support knowledge articles, test evidence, and service reports. • Understand and usage on prompt engineering
- Monitor chatbot and generative-AI services for availability, latency, errors, usage, and operational health. • Triage and resolve incidents involving conversation flows, model endpoints, prompts, knowledge retrieval, APIs, authentication, and dependent services. • Investigate inaccurate, incomplete, unsafe, or irrelevant chatbot responses and document evidence-based corrective actions. • Maintain approved prompts, system instructions, chatbot topics, knowledge sources, configuration records, a
- Technical Skills:
- Azure OpenAI or comparable enterprise LLM services; deployment, configuration, endpoint, and operational support awareness • Microsoft Copilot Studio, Azure Bot Service, Bot Framework, or comparable chatbot platforms. • RAG concepts, document ingestion, chunking awareness, vector and semantic search, grounding, and knowledge-base maintenance. • Prompt configuration, conversation flows, fallback handling, escalation paths, response-quality testing, and version control. • REST APIs, JSON, authen
- Incident, problem, change, release, SLA, runbook, and knowledge-management practices.
- Good To Have:
- Experience with Azure AI Search and enterprise knowledge bases. • Exposure to Semantic Kernel or agent orchestration frameworks. • Experience with LLM observability, evaluation, or prompt-testing tools. • Relevant Microsoft Azure, AI, or ITIL certifications. • Exposure to on front end stacks link next.js, react js. • Experience on Python
Technical Skills:
- Azure OpenAI or comparable enterprise LLM services; deployment, configuration, endpoint, and operational support awareness • Microsoft Copilot Studio, Azure Bot Service, Bot Framework, or comparable chatbot platforms. • RAG concepts, document ingestion, chunking awareness, vector and semantic search, grounding, and knowledge-base maintenance. • Prompt configuration, conversation flows, fallback handling, escalation paths, response-quality testing, and version control. • REST APIs, JSON, authentication, connectors, webhooks, and troubleshooting of dependent application integrations. • Logging, tracing, analytics, content filtering, privacy controls, access controls, and responsible-AI operational practices.
- Incident, problem, change, release, SLA, runbook, and knowledge-management practices.
- Good To Have:
- Experience with Azure AI Search and enterprise knowledge bases. • Exposure to Semantic Kernel or agent orchestration frameworks. • Experience with LLM observability, evaluation, or prompt-testing tools. • Relevant Microsoft Azure, AI, or ITIL certifications. • Exposure to on front end stacks link next.js, react js. • Experience on Python
About malomatia
Information Technology3000 employeesFounded 2008
Qatar-based technology services provider driving digital transformation and innovation.
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