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Senior AI / GenAI Engineer (Onsite – UAE)
LETITBEX AI
Dubai, UAE
Fulltime
Mid-Senior
2 months ago
PythonKubernetesScalaVAT
Free
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About the Role
About LetitbexAI LetitbexAI is a fast-growing AI-driven technology company focused on building intelligent, scalable, and enterprise-grade solutions. We work at the intersection of AI, data engineering, cloud, and business transformation, helping organizations unlock real value from artificial intelligence.
Key Skills for This Role
PythonKubernetesScalaVAT
Full Job Posting
About Letitbexai
- LetitbexAI is a fast-growing AI-driven technology company focused on building intelligent, scalable, and enterprise-grade solutions.
- We work at the intersection of AI, data engineering, cloud, and business transformation, helping organizations unlock real value from artificial intelligence.
- Position:Senior AI / GenAI Engineer (Onsite – UAE)
- Experience: 8-12 years
- Notice Period: Can be considered up to 15 Days
- Role Overview ::
- The resource will provide onsite engineering, advisory, and collaborative technical support for the client’s AI and GenAI initiatives.
- The role is non-decision-making and non-ownership, focused on enabling, guiding, and supporting client teams in adopting and operationalizing AI solutions.
- The resource will work closely with client stakeholders and Open Innovation AI engineering teams to ensure effective implementation, optimization, and operational support of AI workloads.
- Required Skills & Experience Core AI / GenAI Skills
- Strong experience with LLMs, RAG architectures, and prompt engineering
- Hands-on experience with frameworks such as LangChain, LlamaIndex, or similar
- Understanding of model evaluation, benchmarking, and optimization Platform & Integration Skills
- Experience with Python and API integrations
- Familiarity with containers and Kubernetes environments
- Basic exposure to GPU-based workloads and performance tuning MLOps / LLMOps (Working Knowledge)
- Understanding of model lifecycle management (versioning, monitoring, logging)
- Familiarity with common MLOps tools and practices Soft Skills
- Strong communication and stakeholder management skills
- Ability to work in a collaborative, advisory capacity (non-ownership role)
- Experience working in enterprise environments (banking preferred)
Experience Level
- 8–12+ years in IT, with 4–6+ years in AI/ML/GenAI domain
- Prior experience in customer-facing / onsite roles is preferred
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