Applied AI Engineer - Financial Services

CreditNinja - KMD Partners, LLC; Riyadh; On-site; SAR 150,000 - 200,000; Full time

Job summary

A financial services company in Riyadh seeks an experienced AI Software Engineer to design, develop, and deploy cutting-edge AI solutions for fraud detection and risk assessment. The ideal candidate will have 5+ years of software development experience and 2+ years in AI/ML production environments. This role offers an opportunity to innovate in the fintech domain with a focus on MLOps and cloud-native architecture.

Qualifications

• 5+ years of professional software development experience.
• 2+ years of hands-on experience in AI/ML production environments.
• Expertise in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Proficiency in LLM frameworks like OpenAI and Hugging Face.
• Solid experience with backend & frontend development.

Responsibilities

• Design, develop, and deploy AI/ML models for financial applications.
• Implement LLM-based solutions using frameworks like OpenAI and LangChain.
• Develop and maintain cloud-native architectures using AWS, GCP, or Azure.
• Drive rapid prototyping through POCs and MVPs.

Skills

Software development experience

AI/ML production experience

Expertise in ML frameworks

Cloud infrastructure knowledge

Full-stack engineering

Collaboration with product teams

MLOps best practices

Prompt engineering

Proficiency with AWS

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Node.js

React

Kubernetes

Docker

Job description

Job Summary

We are looking for an AI Software Engineer to design, build, and deploy cutting-edge AI/ML solutions for financial services. This role involves working on fraud detection, risk assessment, robo-advisory, LLM-based applications, and cloud-native AI systems. The ideal candidate will have 5+ years of software development experience and at least 2+ years in AI/ML production environments, with expertise across ML frameworks, cloud infrastructure, and full-stack engineering. You will collaborate with product, data science, and compliance teams to deliver innovative, scalable, and compliant AI solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML models for financial applications (fraud detection, risk assessment, robo-advisory, etc.).
• Build and optimize end-to-end ML pipelines (data ingestion → preprocessing → deployment → monitoring).
• Implement LLM-based solutions using OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex.
• Develop and maintain cloud-native architectures (AWS, GCP, Azure).
• Apply MLOps best practices: CI/CD for ML, automated testing, observability.
• Collaborate with product managers, data scientists, and compliance teams.
• Drive rapid prototyping through POCs and MVPs.
• Ensure compliance with cybersecurity and regulatory standards (explainable AI, bias detection, SAMA).
• Contribute to open-source projects and stay updated with AI/ML advancements.

Essential Qualifications

• 5+ years of professional software development experience.
• 2+ years of hands-on experience in AI/ML production environments.
• Expertise in AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Proficiency with LLM frameworks (OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex).
• Experience in prompt engineering, fine-tuning, and RAG architectures.
• Strong knowledge of MLOps pipelines, CI/CD practices, and model deployment.
• Advanced proficiency with cloud platforms (AWS, GCP, or Azure).
• Familiarity with Infrastructure as Code (Terraform, CloudFormation, Pulumi).
• Solid experience with backend & frontend development (Node.js, FastAPI, Django, React, Next.js, etc.).
• Knowledge of databases, APIs, container orchestration (Kubernetes, Docker), and DevOps tools.

Preferred Qualifications

• Experience in AI solutions for financial services.
• Knowledge of edge AI and device-level inference optimization.
• Background in quantitative finance or algorithmic trading.
• Familiarity with blockchain / distributed ledger technologies.
• Publications, research contributions, or conference presentations in AI/ML.
• Proficiency in Arabic NLP and language models (technical skill, not necessarily spoken fluency).
• Previous startup or venture studio experience.
• Domain expertise in computer vision, NLP, time-series forecasting, or recommender systems.

Critical Competencies

• Builder Mentality: Focused on delivering working AI systems, not just designs.
• Problem-Solving: Ability to tackle complex, ambiguous challenges with speed.
• Technical Leadership: Influences design and architecture decisions.
• Innovation Drive: Passion for applying cutting-edge AI in real-world fintech use cases.
• Rapid Prototyping: Skilled at building POCs and MVPs to validate ideas.
• Collaboration: Strong communicator, effective with cross-functional teams.
• Learning Agility: Continuously stays ahead of AI/ML advancements.
• Pragmatic Approach: Balances technical excellence with business priorities and time-to-market.