We're looking for a Lead AI Engineer to join our team in Doha, Qatar, in an onsite working mode.
In this role, you will lead the design and implementation of AI-driven strategies, architectures and operating models, enabling engineering teams to transition to spec-driven and agentic AI delivery methods. This is a critical position to influence and drive AI-assisted development, ensuring scalable implementations, governance and measurable business outcomes. Your expertise will shape AI adoption across the organization, balancing innovation with compliance, security and operational integrity.
Responsibilities
- Architect and deploy token-efficient AI search and retrieval systems optimized for cost, relevance and performance
- Advise on AI adoption strategies, including when to apply RAG, agents, copilots or traditional engineering approaches
- Define and implement spec-driven development practices with governance and reusable standards
- Design KPIs to measure productivity gains, quality improvements and AI adoption maturity
- Build end-to-end AI pipelines, including embeddings, vector stores, retrieval layers, LLM integrations and streaming inference
- Develop operational strategies for agentic systems, including rollout governance, versioning and observability
- Partner with product owners and engineering leads to define AI adoption roadmaps and enable workforce capability uplift
- Drive training, playbooks and mentorship to accelerate workforce readiness in AI-enabled engineering workflows
- Implement responsible AI practices, ensuring compliance with security, safety and ethical guidelines
Requirements
- Bachelor's degree in Computer Science, Software Engineering or related field
- 4+ years of experience building production AI systems or 2+ years in production-level LLM/RAG solutions
- Proven track record leading AI transformations, strategy design and adoption initiatives
- Deep expertise in RAG architectures: embeddings, vector DBs, retrieval strategies
- Strong proficiency with Python, familiarity with Java and API protocols (REST/gRPC)
- Experience with agent frameworks and implementing agentic workflows in enterprise software delivery
- Practical knowledge of Kubernetes, cloud services, CI/CD pipelines and deployment automation
- Hands-on experience in integrating LLM providers and self-hosted models into scalable architectures
- Knowledge of AI observability, testing frameworks, model versioning and prompt governance
We offer/Benefits
- Private healthcare and life insurance
- End of service gratuity
- Annual air travel tickets for expatriates
- Corporate Programs including Employee Referral Program with rewards
- Learning and development opportunities including in-house training and coaching, professional certifications, and courses