AI Engineer

Company Description

Are you ready to join a dynamic team that's transforming the way small businesses manage their finances? At mazeed, we're not just offering a service; we're providing a lifeline to micro and small-sized enterprises. Our multi-faceted platform is the key to helping these businesses keep their financial records in check, issuing invoices promptly, and making informed decisions. We're the trusted extension of their team, their Finance & Accounting Department.

Our core values of Integrity, People Growth, Customer Centric, Global Mindset, Innovation, and Adaptability are the foundation upon which we've built our success. We're not just looking for someone who can fill a role, but someone who can align with these values, adding their unique perspective to our team.

Job Description

Job Summary:

Mazeed is a UAE-based financial management platform combining a modern SaaS experience with expert-led Finance-as-a-Service (FaaS) to help SMEs manage accounting, tax, and financial operations. We’re building an intelligent platform that doesn't just support workflows — it actively enhances them. From data extraction and classification to decision support and anomaly detection, we believe AI can unlock massive value across our product and operations. 

Why This Role Matters 

As an AI Engineer, you will help Mazeed infuse intelligence across the customer journey and internal operations. Whether it's using LLMs to summarize financial documents, training models to flag compliance risks, or automating repetitive workflows, your work will shape how smart and scalable the Mazeed platform becomes. 

This Role Will Directly Impact:

• How efficiently we serve customers 
• How much we can automate behind the scenes 
• How smart our product feels — in both UX and backend logic 

Responsibilities:

• Build and deploy AI-powered services that extract, classify, and process financial documents 
• Develop intelligent agents that assist internal teams (e.g., customer support copilots, task triage bots) 
• Integrate Large Language Models (LLMs) to generate summaries, draft insights, or auto-fill fields 
• Fine-tune models on proprietary datasets (e.g., transactions, invoices, customer interactions) 
• Collaborate with product, data, and engineering teams to bring smart features into production 
• Optimize models for cost, speed, and relevance in a multi-tenant SaaS environment 
• Monitor performance, accuracy, and feedback loops to improve over time
• 2–4 years of experience in AI/ML engineering or applied data science 
• Strong coding skills in Python, with experience in frameworks like HuggingFace Transformers, LangChain, FastAPI 
• Familiarity with LLMs, embeddings, retrieval-based systems (RAG), and prompt engineering 
• Experience working with vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS) 
• Ability to deploy models in production (Docker, Lambda, serverless APIs, etc.) 
• Bonus: Experience with OCR pipelines, invoice parsing, or financial document processing 

Qualifications

• Bonus: Knowledge of Reinforcement Learning from Human Feedback (RLHF) or model fine-tuning 

What Success Looks Like 

• AI-powered features are stable, fast, and meaningfully improve user workflows 
• Repetitive internal processes are automated with smart agents 
• Document processing becomes more accurate and less manual 
• Product feels intelligent, contextual, and responsive 
• AI investments translate to measurable efficiency or customer impact 

Additional Information

If you're excited to embark on this journey with us, to be part of an innovative team that's changing the game for small businesses, we encourage you to apply. At mazeed, we don't just hire employees; we welcome team members who share our values and vision. Join us in making a real impact on the financial well-being of small enterprises while advancing your own career. Your success is our success, and together, we'll reach new heights in the world of finance and accounting.

Join our mazeed Family and enjoy a comprehensive benefits package that includes competitive compensation, comprehensive health coverage, professional development opportunities, work-life balance initiatives, an inclusive company culture, and performance bonuses and incentives. We prioritize the well-being and growth of our employees and strive to create a supportive and rewarding work environment.