Qawafel Logo

Qawafel

Principal Applied AI Engineer

Posted Yesterday
In-Office or Remote
Hiring Remotely in United States
Expert/Leader
In-Office or Remote
Hiring Remotely in United States
Expert/Leader
Lead AI architecture and delivery, design and deploy production AI systems (LLMs, RAG, embeddings, vector DBs, agents), build document intelligence for English/Arabic finance documents, create internal AI assistants, define evaluation/monitoring/security, and collaborate with product, risk, compliance, and operations.
The summary above was generated by AI

Principal Applied AI Engineer 

Location: Saudi Arabia Type: Full-time Seniority: Principal / Staff

About Qawafel

Qawafel is building digital financial infrastructure for businesses in Saudi Arabia. Our mission is to make B2B financing, credit, and financial operations more accessible, efficient, and reliable for companies.

We are looking for a Principal Applied AI Engineer with hands-on experience building production AI systems in fintech or another regulated environment. This is a senior IC role to start, with the runway to lead the AI team as the function grows. You will personally build and own the AI layer across Qawafel's platform, from the internal tools that speed up financing decisions to the AI features our customers use directly.

Role Overview

As Principal Applied AI Engineer, you will own AI architecture and delivery at Qawafel. You will write the code, make the architectural calls, and ship the systems yourself. You will work with leadership, engineering, product, design, credit operations, risk, and compliance.

Qawafel sits at the center of B2B trade in Saudi Arabia. We take the messy reality of how businesses buy, sell, and pay each other and turn it into structured data that can be financed. 

This role starts hands-on. As the AI function grows, the expectation is that you transition into leading the team while staying technically deep.

Responsibilities

  • Own AI architecture and delivery across Qawafel's platform.

  • Personally design, build, and deploy production AI systems with the observability and evaluation that production work requires.

  • Build AI features using LLMs, RAG, document intelligence pipelines, embeddings, vector databases, and AI agents.

  • Build document intelligence pipelines that handle financial statements, bank statements, invoices, contracts, and trade records across English and Arabic.

  • Lead the build of an internal AI assistant that speeds up the financing workflow end to end.

  • Choose and integrate the AI models, document processing tools, vector databases, and supporting infrastructure we use.

  • Define how we evaluate, monitor, and secure AI systems in production.

  • Work with product and engineering to embed AI into core platform workflows.

  • Work with risk, compliance, operations, and finance teams to make sure AI systems are practical and meet regulatory requirements.

  • Track and apply new AI developments relevant to fintech and B2B trade.

  • Set the technical bar for AI at Qawafel and grow into leading the team as the function expands.

Requirements

  • Principal or staff-level applied AI engineering experience.

  • Experience shipping production AI systems in fintech, banking, or another regulated environment.

  • Hands-on experience building and operating production AI systems.

  • Strong software engineering fundamentals and experience designing complex systems.

  • Experience with LLMs, RAG, embeddings, vector databases, AI agents, and document intelligence (including multimodal models).

  • Experience defining evaluation, observability, and monitoring for non-deterministic systems.

  • Strong instincts around data handling, privacy, and auditability in regulated contexts.

  • Comfortable as a senior IC today and open to moving into a team lead role as the function grows.

  • Strong written and verbal communication in English and Arabic.

Preferred Qualifications

  • Experience in SME financing, invoice financing, supply chain finance, embedded finance, or lending platforms.

  • Experience working in startups, scaleups, or fast-moving product teams.

  • Prior experience leading or mentoring engineers, with appetite to grow into a management role.

What We're Looking For

A senior AI engineer who can hold engineering, product, risk, and business needs in their head at the same time. Someone who can take a complex financing workflow and turn it into a product that is simple to use and dependable in production. Someone who wants to build it themselves now and grow the team that scales it later.

Similar Jobs

11 Days Ago
In-Office or Remote
131K-191K Annually
Expert/Leader
131K-191K Annually
Expert/Leader
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Lead architecture and delivery of production-grade applied AI systems (LLMs, retrieval, agents). Solve cross-stack technical problems, define platform direction on AWS, optimize data and database design, improve quality/QA and observability, mentor a ~20-person team, and translate ambiguous product opportunities into measurable technical outcomes.
Top Skills: Agentic/AgentsAPIsAWSBackend ServicesData PipelinesDevOpsGraph DatabasesLlmsMachine LearningObservabilityProduction OperationsPythonRelational DatabasesRetrieval (Rag)
23 Minutes Ago
Remote or Hybrid
Maryland, USA
70K-161K Annually
Senior level
70K-161K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Responsible for managing sales to enterprise customers, ensuring team training and development, monitoring performance, and achieving sales targets. Leads promotions and coordinates with internal teams.
Top Skills: Communication SkillsLeadershipPerformance MonitoringSales ManagementTeam Training
2 Hours Ago
Remote or Hybrid
United States
61K-92K Annually
Junior
61K-92K Annually
Junior
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Execute end-to-end digital advertising across Search, Display, Social, and Video for a 50+ account portfolio. Monitor KPIs, perform keyword research, create ads, troubleshoot and optimize campaigns, produce monthly reports, consult with clients to retain and grow budgets, and maintain required platform certifications. Handle client communications, track actions for audit, and perform limited travel (5%).
Top Skills: CSSFtpGoogle AdsGoogle AnalyticsHTMLHTTPMicrosoft AdvertisingSalesforceSeo

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account