AI Engineer

Overview

The AI Implementation Engineer at Inception is responsible for building, deploying, and operating production-grade AI agents embedded into enterprise workflows. This role requires strong hands-on engineering capability, experience with AI-enabled systems, and the ability to deliver reliable solutions in secure, enterprise environments. The AI Implementation Engineer will work closely with product, architecture, and platform teams to ensure AI capabilities are delivered with production quality and real operational impact.

The opportunity

The AI Implementation Engineer will play a critical role in translating approved AI use cases into working, production-ready solutions used across enterprise functions. This role focuses on execution and delivery, ensuring AI agents are robust, well-integrated, and operationally reliable. Through close collaboration with cross-functional teams, the role directly contributes to the successful adoption of AI-driven workflows and measurable improvements in day-to-day operations.

About Inception

Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft’s AI SaaS offerings, Inception delivers domain-specific, agent-based AI platforms designed for precision, scalability, and cost-effective deployment. The organization focuses on AI incubation, IP creation, applied AI R&D, and AI investment products, working closely with leading universities and global technology partners to advance applied AI capabilities in the region.

Responsibilities

Key responsibilities

• Build, configure, and deploy production-grade AI agents using pro-code frameworks
• Implement agent logic, tools, and workflows based on approved functional and technical specifications
• Integrate AI agents into enterprise workflows and systems, including approvals, task execution, and data updates
• Develop and maintain integrations using REST APIs, webhooks, and event-driven patterns
• Deploy and operate AI solutions in secure, enterprise-grade environments
• Participate in structured testing, release, and iteration cycles
• Tune and enhance deployed agents based on real user feedback and operational performance
  
  

Qualifications

Skills and attributes for success

• Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field. Advanced degree preferred
• Minimum of 4-6 years of experience in software engineering, AI implementation, or solutions engineering, with a focus on technology or AI projects
• Strong proficiency in Python
• Hands-on experience with agentic frameworks, including Microsoft agent frameworks
• Solid understanding of vector databases and AI search patterns
• Strong problem-solving skills and attention to production quality
• Ability to work effectively in cross-functional engineering environments
  
  

To qualify for the role you must have

• Proven pro-code development experience
• Demonstrated experience building AI-enabled or agent-based services using Microsoft AI Foundry, Azure AI Studio extensibility, or equivalent frameworks
• Strong API integration experience across enterprise systems
• Familiarity with enterprise workflow patterns such as approvals, escalations, notifications, and task orchestration
• Experience deploying and operating solutions in secure, enterprise-grade environments
• Ability to work against structured backlogs and clearly defined specifications
  
  

What we look for

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.

What working at Inception offers

• Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations
• Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects
• Work-Life: A hybrid work policy to strike the perfect balance between office and home
• Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more
  
  

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

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