Lead AI Engineer

ION

Employer Active

Posted on 29 Sep

Experience

5 - 10 Years

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

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

Desired Candidate Profile

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

Company Industry

Department / Functional Area

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