Lab49 is an NYC-based award-winning global specialist consultancy that creates bespoke technology.
Lab49 is hiring a Lead AI Engineer for an exciting opportunity in one of the worlds most dynamic business hubs. This 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 AI–based 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 client’s existing digital and enterprise systems.
You will lead architectural decisions, guide development standards, and help shape the next-generation customer experience powered by intelligent, modular agents.
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 Lab49’s and Client’s 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. Master’s 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: the team 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
We’re visionary innovators who are delivering mission-critical trading and workflow automation software to financial institutions, corporations, central banks, and governments. By combining our passion for automation with a strategic view on the industries we serve, we design solutions that improve decision-making, simplify complex processes, and empower people. Simply put, we help our customers do more, faster and better than before. We believe our investments in research and development are shaping the future of automation and enabling our customers to transform their business. And we embrace the power of community, working with each other and with our customers to succeed through a positive culture of continuous improvement.
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