CodeNinja Inc.

Senior AI Engineer / Agentic AI Architect

CodeNinja Inc.  •  Riyadh, SA (Onsite)  •  7 hours ago
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Job Description

About CodeNinja

CodeNinja is a global software and AI infrastructure company delivering full-stack technology solutions across AI, software engineering, data, and digital transformation.

With operations across Saudi Arabia and global technology hubs, CodeNinja works with organizations across multiple industries to deliver technology solutions that support business transformation and innovation.

Our teams work across areas including AI, software engineering, data and analytics, cloud, enterprise technology, and digital transformation.

CodeNinja is looking for an experienced Senior AI Engineer / Agentic AI Architect to design, build, and deploy enterprise-scale AI solutions for the banking and financial services sector.

About the Role

In this role, you will deliver production-grade AI applications with a focus on scalability, security, observability, governance, and performance. You will work across Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI.

The ideal candidate will have strong software engineering fundamentals and deep expertise in LLMs, RAG, Agentic AI, and modern AI engineering practices. They will have 8–12+ years in software engineering, including 5+ years of hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI.

Key Responsibilities

  • Design and develop enterprise-grade AI solutions using modern LLMs and Agentic AI frameworks.
  • Architect multi-agent systems capable of planning, reasoning, tool usage, and workflow orchestration.
  • Build production-ready RAG platforms integrating structured and unstructured enterprise data.
  • Design scalable APIs and AI services using Python and modern backend frameworks.
  • Implement robust evaluation frameworks for LLM quality, safety, and performance.
  • Optimize AI applications for latency, throughput, and infrastructure cost.
  • Deploy and manage open-source LLMs in production environments.
  • Collaborate with architects, product owners, business analysts, and DevOps teams to deliver enterprise AI platforms.
  • Ensure compliance with enterprise security, governance, and responsible AI practices.
  • Mentor engineering teams and contribute to AI best practices and reusable frameworks.

Expected Deliverables

The selected candidate should be capable of independently designing and delivering:

  • Enterprise AI platforms
  • Multi-agent AI systems
  • RAG-based knowledge assistants
  • AI copilots
  • LLM evaluation frameworks
  • Production-ready AI APIs
  • AI observability and monitoring solutions
  • Secure, scalable, and cost-optimized AI deployments suitable for enterprise production environments.

Requirements

Requirements

Required Qualifications & Skills

Experience

  • 8–12+ years of experience in Software Engineering.
  • 5+ years of hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI.

AI / Machine Learning

  • Strong understanding of:

Software Engineering

  • Expert-level Python programming.
  • Strong software engineering fundamentals.
  • Experience building production-grade backend systems.
  • RESTful API and microservices development.
  • Async programming and scalable architectures.
  • Experience with FastAPI, Flask, or similar frameworks.

Agentic AI

  • Hands-on experience designing and implementing Agentic AI solutions using one or more of:
  • Experience in:

Retrieval-Augmented Generation (RAG)

  • Strong experience building enterprise RAG platforms.
  • Embedding models, such as:
  • Vector databases, such as:
  • Graph databases, such as:
  • Search technologies, including:

LLM Evaluation

  • Experience designing systematic evaluation frameworks using tools such as:
  • Understanding of:

Guardrails & Observability

  • Guardrails:
  • Observability:
  • Experience with:

Prompt Engineering

  • Expertise in:

Model Deployment & Inference

  • Hands-on experience deploying open-source LLMs.
  • Preferred models:
  • Inference engines:
  • Experience with:

MLOps / AI Platform

  • Experience with:

Cloud Platforms

  • Experience with one or more:

Database Technologies

  • Experience with:

Soft Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management.
  • Ability to lead technical discussions and architecture reviews.
  • Experience mentoring engineering teams.
  • Ability to work in Agile delivery environments.

Banking & Industry Experience (Nice to Have)

  • Banking or Financial Services domain experience.
  • Experience with enterprise AI governance and Responsible AI frameworks.
  • Knowledge of SAMA, NCA, or other financial regulatory environments.
  • Experience building AI copilots and enterprise AI assistants.
  • Knowledge of OCR, document intelligence, and intelligent automation.
  • Experience integrating AI solutions with BPM/workflow platforms such as Appian, Camunda, or Pega.

Education & Certifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related field.
  • The following professional certifications are an advantage:

Key Competencies

Agentic AI | Multi-Agent Systems | Large Language Models (LLMs) | RAG | Vector & Graph Databases | LLM Evaluation | Guardrails & Observability | Prompt Engineering | LLM Deployment & Inference | MLOps | Python | APIs & Microservices | Cloud AI Platforms | Responsible AI

Benefits

Benefits

What We Offer

  • Competitive compensation based on experience and qualifications.
  • Opportunity to work on enterprise-scale technology and digital transformation projects.
  • Exposure to banking, financial services, AI, data, and emerging technology environments.
  • Professional growth and learning opportunities.
  • Collaborative and technically driven work environment.
  • Opportunity to work with experienced technology and consulting professionals.

Disclaimer

This job description is intended to convey information essential to understanding the scope of the role and is not exhaustive of all responsibilities, skills, or qualifications required. CodeNinja reserves the right to modify duties and responsibilities at any time.

CodeNinja Inc.

About CodeNinja Inc.

CodeNinja is a Middle Eastern–American Software & AI company helping businesses build AI systems and learning architectures for mission-critical workloads.

With offices in Seattle, San Francisco, Riyadh, and Lahore, our work centers on enabling organizations to develop capabilities across workplaces and factory floors using both open-source and proprietary AI models, spanning generative and deterministic systems.

We believe most workplaces and factory floors are not ready for the post-AGI era of work. Our mission is to help enterprises reimagine how work itself is organized and executed so that human talent and automation not only coexist but thrive. We call this mission: “Reimagining Workplaces for Post-AGI Readiness.”

At the core of our approach is Hyper Tools, our integrated Platform + Services model, designed to accelerate the creation of AI applications and agents in complex domains. Hyper Tools reduces the generality of large models through reinforcement learning, rapid development workflows and purpose built synthetic and manual Data creation.

Our focus spans four core thrust areas:

Physical AI Systems – Building AI/ML systems for physical infrastructure. Some of the world’s leading chemical and energy companies rely on CodeNinja’s outcome-based, vendor-independent models to enhance operational efficiency and revenue.

Work AI – Developing agentic AI systems that transform workplace processes into adaptive, intelligent experiences.

Hyper Core – Enabling enterprises to build software and automation layers in-house instead of outsourcing to Software Services Vendors.

Global Capability & AI Centers – Partnering with universities and developer communities in South Asia and South America to build AI and research talent pipelines, helping global companies scale their capabilities sustainably.

Founded by 4 Engineers and incredible team of operators, CodeNinja is united by this mantra of " Inspiration and Innovation for every knowledge worker in the world"

Industry
IT & Software
Company Size
201-500 employees
Headquarters
Austin, Texas
Year Founded
2014
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