GenAI Engineer AI Builder AI Agent Associate Specialist
Magic Compass Limited
Description
Employment Type: Full-time Contractor, Remote
Working Hours: 9:00 AM â 6:00 PM Â Local Time
About the Role
We are looking for a proactive GenAI Engineer / AI Builder/ AI Agent Associate / AI Application Specialist to design and build AI-powered workflows and AI Agents that enhance business productivity across multiple business functions.
You will design, build, and maintain AI solutions that automate business processes, improve operational efficiency, and enable effective Human + AI collaboration across different business functions.
Your initial focus will be supporting our AI and Risk Management team. As our AI capabilities continue to grow, you will work with other business functions to build practical AI solutions that improve productivity and operational excellence.
This role is ideal for someone who enjoys rapidly transforming business requirements into scalable AI applications and turning ideas into real business outcomes.
Key Responsibilities
AI Agent & Workflow Development
·      Design, build, and maintain AI Agents for business operations.
·      Develop monitoring, logging, and observability for agent behaviors and safety rules.
·      Develop AI-powered workflows that automate repetitive business processes.
·      Translate business requirements into practical AI solutions.
·      Build scalable AI applications that improve productivity and operational efficiency.
·      Integrate AI solutions with internal systems and third-party platforms.
Business AI Applications
·      Develop AI solutions across different business functions, including Risk Management, Testing, Marketing, Operations and Customer Support.
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About Magic Compass Limited
Company scraped from remoteok
Job Stats
Hiring Across Borders?
Interview Prep Guide
Preparation Strategy
To prepare for this role, focus on reviewing AI and machine learning fundamentals, practicing system design, and preparing to discuss your experience with AI Agents and their applications. It's also essential to review your past experiences and prepare to discuss your collaboration, communication, and problem-solving skills in the context of AI development. Make sure to research the company and their AI initiatives to demonstrate your interest and knowledge.
Likely Interview Rounds
- 1. Technical~60 min
What to prep: Review AI and machine learning fundamentals, practice designing and building AI-powered workflows, and prepare to discuss your experience with AI Agents and their applications.
- How do you design and build AI-powered workflows?
- What is your experience with AI Agents and their applications?
- How do you ensure the safety and reliability of AI systems?
- Can you explain a project where you translated business requirements into practical AI solutions?
- 2. System design~60 min
What to prep: Review system design principles, practice designing scalable AI applications, and prepare to discuss your experience with building AI-powered workflows.
- How would you design a scalable AI application?
- What considerations do you take into account when building AI-powered workflows?
- Can you describe a system you designed and built that automated repetitive business processes?
- 3. Behavioral~30 min
What to prep: Review your past experiences and prepare to discuss your collaboration, communication, and problem-solving skills in the context of AI development.
- Can you describe a time when you had to collaborate with a cross-functional team to build an AI solution?
- How do you handle feedback or criticism of your AI designs or implementations?
- Tell me about a project where you had to rapidly transform business requirements into scalable AI applications.
Most Likely Questions
- What do you know about our company and our AI initiatives?
- How do you stay current with the latest developments in AI and machine learning?
- Can you explain a complex AI concept to a non-technical person?
- How do you handle the ethics and bias of AI systems?
Common Pitfalls
- Lack of clarity in explaining technical concepts
- Inability to provide specific examples of AI development experience
- Insufficient preparation for system design and technical questions
Free Prep Resources
- • LeetCode
- • System Design Primer (GitHub: donnemartin)
- • NeetCode
- • Andrew Ng's Machine Learning Course