Lead AI Engineer, UAE
Posted on :
18-07-2025
Employer Active
1 Vacancy
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Job Description
Lab49is an NYC-based award-winning global specialist consultancy thatcreates bespoke technology.
Lab49is hiring aLead AI Engineerfor an exciting opportunity in one of the worlds most dynamic business is a chance to join a pioneering team that is setting new benchmarks in the use of agentic AI prompt-driven UIs and LLM-powered services for a high-impact B2C client in Dubai.
JOB SUMMARY:
As a Lead AI Engineer you will play a pivotal role in the design and implementation of a complex agentic AIbased solution for a major B2C company in Dubai a market leader in its sector.
The platform will deliver omni-channel prompt-driven AI services leveraging LLMs agentic orchestration retrieval-augmented generation (RAG) and tight integration with the clients existing digital and enterprise systems.
KEY RESPONSIBILITIES:
- Solution Design:
- Drive the architecture and solution design for the AI platform ensuring it meets business performance and scalability requirements
- Design patterns for prompt-driven UI generation long-term memory usage and multi-agent collaboration
- Select appropriate frameworks and orchestrators (e.g. LangChain LangGraph CrewAI Agno) based on project needs
- Application Development:
- Build and maintain production-grade agentic AI services in Python
- Own integration patterns between schema-rendered UI prompt handling and inference pipelines
- Implement APIs and backend components to interface with LLMs memory stores external tools and enterprise systems
- Develop and integrate RAG pipelines vector stores and structured output parsing
- Contribute to re-usable libraries and accelerators
- Write clean testable code and ensure robust CI/CD and deployment pipelines are in place
- Technical Leadership:
- Provide technical guidance to junior and mid-level developers
- Conduct code reviews and maintaining high standards of software quality
- Collaborate closely with product managers front-end developers and Lab49s and Clients architecture and QA teams
- Stay current with the rapidly evolving LLM landscape and proactively suggest innovations
EXPERIENCE AND SKILLS:
- Required experience and skills:
- Bachelors degree in Computer Science Information Technology or a related field. Masters degree is preferred
- 5 to 10 years of hands-on software engineering experience
- Strong expertise in Python and modern backend development practices
- At least 2 years implementing LLM and Agentic AI solutions
- Proven delivery of production-grade conversational AI platforms or prompt-native experiences (e.g. chatbots voice assistants agentic workflows)
- Solid understanding of cloud-native AI services preferably on AWS
- Experience working in an agile product-oriented delivery environment
- Desired experience and skills:
- Experience with RAG architectures information extraction and vector databases is desirable
- Experience with Agno is a strong plus.
*Details of the hybrid model:theteam normally meets for 2 days a week in the office client work may require more presence on the client premises especially during the integration testing and release phases of a project
Employment Type
Full-Time
Key Skills
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