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CodeNinja Inc.
CodeNinja Inc.
201 – 500 Employees
ConsultingLogisticsSaaS
CodeNinja Inc. is a technology consulting company that helps businesses build, modernize, and manage their software and IT operations. Its services span AI-driven software development, application engineering, cloud computing, enterprise solutions, managed IT, and staff augmentation. The company also supports digital transformation initiatives, with expertise relevant to consulting, logistics, and SaaS organizations seeking scalable technology systems and additional engineering capacity.
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Senior AI Engineer / Agentic AI Architect - Riyadh, Hybrid

Senior AI Engineer and Agentic AI Architect designing secure, scalable LLM and RAG platforms for CodeNinja’s banking and financial services clients. Leads production AI architecture, delivery, optimization, and engineering-team mentorship.

SASaudi ArabiaHybridContractSeniorEnglish RequiredAI EngineerMachine Learning Engineer
AWSAzureCloudDockerElasticSearchFlaskGoogle Cloud PlatformKubernetesMicroservicesMongoDBOraclePostgresPythonReactRedis

Description

  • Create enterprise AI solutions with modern LLMs and agentic AI frameworks
  • Architect multi-agent systems for planning, reasoning, tool use, and workflow orchestration
  • Develop production-ready RAG platforms across structured and unstructured enterprise data
  • Build scalable APIs and AI services with Python and contemporary backend frameworks
  • Establish evaluation frameworks for LLM quality, safety, and performance
  • Improve AI application latency, throughput, and infrastructure efficiency
  • Deploy and operate open-source LLMs in production
  • Partner with architects, product owners, business analysts, and DevOps teams on enterprise AI platforms
  • Apply enterprise security, governance, and responsible AI standards
  • Mentor engineering teams and advance reusable AI practices and frameworks
  • Independently deliver enterprise AI platforms, multi-agent systems, RAG knowledge assistants, AI copilots, LLM evaluation frameworks, production AI APIs, observability solutions, and secure, scalable, cost-efficient deployments

Requirements

  • 8–12+ years of software engineering experience
  • 5+ years of hands-on experience in artificial intelligence, machine learning, and generative AI
  • Strong knowledge of machine learning, deep learning, NLP, transformer architectures, LLMs, and embedding models
  • Expert Python programming skills
  • Strong software engineering fundamentals
  • Experience developing production-grade backend systems
  • Experience with RESTful APIs and microservices
  • Experience with asynchronous programming and scalable architectures
  • Experience with FastAPI, Flask, or comparable frameworks
  • Hands-on experience designing and implementing agentic AI solutions with LangGraph, CrewAI, OpenAI Agents SDK, AutoGen, Semantic Kernel, or LlamaIndex Workflows
  • Experience with multi-agent orchestration, planning agents, tool calling, human-in-the-loop workflows, memory and state management, and agent collaboration patterns
  • Strong experience building enterprise RAG platforms
  • Experience with embedding models, vector and graph databases, and search technologies
  • Experience creating systematic LLM evaluation frameworks
  • Understanding of hallucination detection, faithfulness, answer relevance, context precision and recall, groundedness, toxicity, and regression testing
  • Experience implementing guardrails and observability, including prompt tracing, token and cost analytics, latency monitoring, feedback loops, and production debugging
  • Expertise in prompt engineering, including Chain-of-Thought, ReAct, Tree of Thoughts, Self-Consistency, few-shot and structured prompting, function calling, JSON mode, prompt optimization and caching, context-window optimization, token efficiency, and cost optimization
  • Hands-on experience deploying open-source LLMs
  • Experience with GPU optimization, batch inference, model serving, autoscaling, multi-GPU deployment, and quantization
  • Experience with MLflow, Kubeflow, Docker, Kubernetes, GitHub Actions or GitLab CI, model versioning, experiment tracking, feature stores, continuous evaluation, and continuous deployment
  • Experience with Google Cloud Platform Vertex AI, Microsoft Azure AI, AWS Bedrock, or OpenAI Azure
  • Experience with PostgreSQL, Oracle, MongoDB, Redis, Elasticsearch, or OpenSearch
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder-management skills
  • Ability to lead technical discussions and architecture reviews
  • Experience mentoring engineering teams
  • Ability to work in Agile delivery environments
  • Bachelor’s degree in computer science, artificial intelligence, information technology, engineering, or a related field

Benefits

  • Compensation is based on experience and qualifications
  • Work on enterprise-scale technology and digital transformation initiatives
  • Exposure to banking, financial services, AI, data, and emerging technology environments
  • Professional development and learning opportunities
  • Collaborative, technically focused work environment
  • Work alongside experienced technology and consulting professionals

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