Tech Lead – Agentic AI Engineering | Abu Dhabi, UAE

Work Model and Assignment

• This is a full-time, on-site position in Abu Dhabi, UAE.
• The initial assignment is for one year with the possibility of extension.
• Employment will be through the designated UAE company.

About the Role

Problem Discovery and Delivery

• Work with business stakeholders to understand challenges, objectives, outcomes, and success metrics.
• Challenge assumptions, identify underlying operational drivers, and determine whether AI is appropriate.
• Own initiatives from discovery and architecture through development, deployment, operation, and continuous improvement.

Agentic AI Engineering

• Build enterprise-grade agentic AI applications and reusable AI services for multiple business domains.
• Develop agents with multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows.
• Design RAG solutions covering ingestion, chunking, embeddings, vector search, retrieval optimization, grounding, and source traceability.
• Integrate AI systems using MCP, REST APIs, OpenAPI, webhooks, messaging, and event-driven architectures.
• Apply tool calling, schema validation, retries, fallbacks, guardrails, and recovery mechanisms.

Quality, Reliability, and Governance

• Own solution quality throughout design, development, and production operation.
• Establish testing, evaluation, observability, structured logging, version control, and continuous feedback practices.
• Optimize accuracy, reliability, performance, latency, security, and cost.
• Embed security, privacy, access control, auditability, responsible AI, and governance requirements.

Technical Leadership

• Define technical direction, architecture standards, and build-versus-buy decisions.
• Establish reusable engineering patterns, frameworks, and standards for internal AI capabilities.
• Design multi-agent architectures, agent communication patterns, orchestration standards, and evaluation frameworks.
• Work with product owners, architects, engineers, business stakeholders, and external technology providers.
• Mentor engineers, conduct technical reviews, raise engineering standards, and own measurable business outcomes.

Required Engineering Experience

• 8+ years of experience building production-grade software.
• 4+ years of experience with generative AI, large language models, applied machine learning, or related AI technologies.
• At least 1 year of hands-on experience designing and deploying agentic AI solutions.
• Proven experience setting technical direction and delivering AI solutions at enterprise scale.
• Strong Python and at least one of TypeScript, JavaScript, Java, or C#.
• Hands-on experience or strong working knowledge of MCP and modern agent orchestration frameworks or enterprise AI platforms.
• Understanding of asynchronous programming, API development, typed validation, CI/CD, testing, source control, logging, and error handling.

Architecture and Communication

• Production experience with vector databases or search platforms and RAG architectures.
• Experience integrating enterprise systems through APIs, identities, middleware, webhooks, messaging, and cloud-native architectures.
• Practical experience deploying containerized applications in cloud environments.
• Experience with monitoring, observability, and production operations.
• Strong judgment across quality, latency, reliability, security, governance, and cost trade-offs.
• Excellent English communication skills and experience working in diverse international teams.

Preferred Experience

• Experience in aviation, transportation, logistics, supply chain, cargo operations, customer service, or other complex operational environments is advantageous.
• Classical machine learning, data science, advanced analytics, full-stack engineering, voice AI, automation, CRM integrations, or multilingual AI experience is valuable.
• Experience building AI evaluation frameworks, golden datasets, simulation testing, regression suites, or AI quality measurement systems is valuable.
• Relevant cloud AI, generative AI, agentic AI, or MLOps certifications are valuable.

Relocation and Leave

• Relocation support may include a UAE employment visa, medical insurance, flights, approved broker fees, apartment-search assistance, and local arrival support.
• Benefits are subject to the final written offer and company policies.
• The role provides 30 days of paid annual leave per year.
• Following probation, sick leave may total up to 90 days per year under the stated pay schedule and medical-certification requirements.