Engineer - OpenAI & Chatbot Support

Malomatia; Doha; Presencial; QAR 167.000 - 279.000; Jornada completa

Descripción de la vacante

Malomatia seeks an Engineer – OpenAI & Chatbot Support to operate, monitor, troubleshoot, and improve enterprise generative-AI and chatbot services. You will ensure service availability and investigate response quality while maintaining prompts, knowledge sources, and configuration records.

Responsibilities include coordinating with cross-functional teams for L2/L3 escalation, validating releases, and applying responsible-AI controls.

Formación

• Experience with Azure OpenAI or comparable enterprise LLM services.
• Exposure to Semantic Kernel or agent orchestration frameworks.
• Experience with LLM observability, evaluation, or prompt-testing tools.
• Exposure to front-end stacks like Next.js and React.js.
• Experience in Python.

Responsabilidades

• Monitor availability, latency, errors, usage, and health of chatbot services.
• Triage and resolve incidents involving conversations, prompts, endpoints, and APIs.
• Investigate inaccurate or unsafe chatbot responses and document corrective actions.
• Maintain approved prompts, system instructions, and knowledge sources.
• Support retrieval-augmented generation workflows and knowledge refresh activities.
• Validate releases and configuration changes across development, testing, and production environments.
• Analyze logs, traces, and metrics to identify recurring issues and improvements.
• Apply responsible-AI, privacy, security, content-safety, and human-escalation controls.

Conocimientos

Analytical thinking

Problem-solving

Troubleshooting

Communication

Documentation

Independence

Collaboration

Customer focus

Educación

Bachelor's degree in CS / Data Eng / IS

Herramientas

Azure OpenAI

Semantic Kernel

LLM observability tools

Python

Next.js

React

Descripción del empleo

Job Title:

Engineer – OpenAI & Chatbot Support

We are looking for an Engineer – OpenAI & Chatbot Support to operate, monitor, troubleshoot, and continuously improve enterprise generative-AI and chatbot services. The role focuses on service availability, response-quality investigation, knowledge-base operations, prompt and configuration support, integration troubleshooting, responsible-AI controls, and SLA-driven production support.

Key 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.

Experience Required:

• 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.
• Exposure to on front end stacks link next.js, react js.
• Experience on Python.

Education Qualifications:

Bachelor’s or Bachelor degree in Computer Science, Data Engineering, Information Systems, or a related field.

Skills Required:

• Azure OpenAI or comparable enterprise LLM services; deployment, configuration, endpoint, and operational support awareness
• 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.
• Relevant Microsoft Azure, AI, or ITIL certifications.
• 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.

Employment / Job Type:

Full Time

Nationality:

Any Nationality

About the Company:

A Qatari technology services and solutions provider supporting digital transformation for government and enterprise clients. Its portfolio covers systems integration, managed services, cybersecurity, cloud, data and artificial intelligence, application development and contact centre operations. The company serves government, healthcare, education, energy, transport and financial services in line with national digital goals.

Company Industry:

IT Services

Department / Functional Area:

IT

Closing Date:

25 October 2026