Technical Support Engineer - Conversational AI and LLM Systems - Dicetek LLC - Dubai, UAE

DiceTek UAE

Dubai

On-site

AED 279,000 - 390,600

Full time

14 days+

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Benefits offered by this job

Competitive salary
Career growth potential
Technical certification support

Job summary

Dicetek LLC is hiring a Technical Support Engineer in Dubai to specialize in Conversational AI and Large Language Model (LLM) systems. You will provide advanced support for AI-driven solutions, troubleshooting issues, and optimizing workflows.

The successful candidate will have skills in API integration, cloud platforms, and container orchestration technologies, with a focus on ensuring reliable data flow across complex systems. Competitive salary and career growth opportunities are offered.

Qualifications

  • Experience with OpenAI, Azure OpenAI, or Anthropic for Conversational AI.
  • Strong knowledge of RESTful APIs, OAuth2, and JSON.
  • Proficiency in Docker, Kubernetes, and CI/CD practices.
  • Proven background in Tier 2/3 support roles for enterprise applications.
  • Strong communication skills with a customer-oriented mindset.

Responsibilities

  • Provide Tier 2/3 technical support for Conversational AI systems.
  • Troubleshoot performance issues, including model latency and errors.
  • Collaborate with developers on prompt engineering and design workflows.
  • Support automation systems like Camunda and Airflow.
  • Document troubleshooting guides and communicate resolutions effectively.

Skills

Conversational AI support
API integration and troubleshooting
Cloud platform operations
Technical documentation
Customer engagement
Escalation handling

Tools

OpenAI
Azure OpenAI
Anthropic
Docker
Kubernetes
Camunda
Apache Airflow
n8n
Jira
ServiceNow
Zendesk

Job description

Position Overview

Dicetek LLC is hiring a Technical Support Engineer specializing in Conversational AI and Large Language Model (LLM) systems to provide advanced support for AI-driven solutions and automation platforms. The role involves troubleshooting, workflow optimization, and managing integrations across APIs, cloud platforms, and AI models. The ideal candidate will have strong diagnostic skills, experience in customer‑facing applications, and hands‑on expertise with AI and infrastructure technologies.

Key Responsibilities
  • Provide Tier 2/3 technical support for Conversational AI systems and LLM integrations such as OpenAI, Azure OpenAI, and Anthropic.
  • Troubleshoot performance issues including model latency, token limits, and hallucinations.
  • Work with developers to refine prompt engineering and conversational design workflows.
  • Support and optimize workflow automation systems like Camunda, Apache Airflow, or n8n.
  • Diagnose RESTful API errors, OAuth2 authorization problems, and data transformation issues.
  • Collaborate with infrastructure teams managing cloud environments on Azure, AWS, or GCP.
  • Deploy and maintain containerized systems using Docker and Kubernetes.
  • Monitor performance through CI/CD pipelines and tools like Prometheus, Grafana, or ELK.
  • Document troubleshooting guides, FAQs, and process notes for internal knowledge bases.
  • Communicate technical resolutions clearly to clients, developers, and stakeholders.
Technical Skills and Experience
  • LLM and Conversational AI Support: Experience with OpenAI, Azure OpenAI, or Anthropic; knowledge of conversational design including intents, entities, and dialogue flows; familiarity with prompt engineering, fine‑tuning, and model performance optimization.
  • Workflow and API Integration: Strong knowledge of RESTful APIs, OAuth2, JSON, and webhooks; hands‑on experience with workflow automation platforms like Camunda, n8n, or Airflow; ability to debug API calls, manage latency, and ensure reliable data flow across systems.
  • Platform and Infrastructure Knowledge: Experience with major cloud platforms such as Azure, AWS, or GCP; proficiency in Docker, Kubernetes, and related container orchestration tools; understanding of CI/CD, system monitoring, and performance profiling.
  • Support Engineering Practices: Proven background in Tier 2/3 support roles for enterprise applications; experience with ticketing systems such as Jira, ServiceNow, or Zendesk; ability to write clear, structured technical documentation and status reports.
  • Soft Skills and Collaboration: Strong communication skills and ability to translate complex technical issues; customer‑oriented mindset with focus on problem ownership and resolution; capability to manage escalations and perform under pressure.
Skills Set

Conversational AI support, API integration and troubleshooting, cloud platform operations, technical documentation, customer engagement, and escalation handling.

Why Join Us

Opportunity to work on advanced AI and automation projects across multiple industries. Exposure to next‑generation enterprise technologies and scalable AI deployments. Collaborative work environment emphasizing innovation and continuous learning. Competitive salary, career growth potential, and technical certification support.

About the Company

Dicetek LLC, headquartered in Dubai, is a global IT and business solutions provider offering consulting, technology, and managed services to clients in finance, telecom, and enterprise sectors. With operations across the Middle East and Asia, Dicetek specializes in digital transformation, AI integration, and enterprise system solutions, helping organizations achieve operational excellence through innovation and technology.

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