CodeNinja Inc.
CodeNinja Inc.
201 – 500 Xodimlar
KonsaltingLogistikaSaaS
CodeNinja Inc. — bizneslarga dasturiy ta’minot va IT operatsiyalarini yaratish, modernizatsiya qilish hamda boshqarishda yordam beradigan texnologik konsalting kompaniyasi. Uning xizmatlari sun’iy intellekt asosidagi dasturiy ta’minot ishlab chiqish, ilovalar muhandisligi, bulutli hisoblash, korporativ yechimlar, boshqariladigan IT xizmatlari va xodimlar bilan ta’minlash yo‘nalishlarini qamrab oladi. Kompaniya raqamli transformatsiya tashabbuslarini ham qo‘llab-quvvatlaydi hamda kengaytiriladigan texnologik tizimlar va qo‘shimcha muhandislik salohiyatini izlayotgan konsalting, logistika va SaaS tashkilotlari uchun tegishli ekspertizani taqdim etadi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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

O‘xshash ish o‘rinlari

Kreato Global | BPO and Language Solutions

Remote English-Spanish OPI/VRI Interpreter

Kreato Global | BPO and Language Solutions

Interpret remotely between English- and Spanish-speaking people in medical, financial, social service, and customer care settings. Provide language support for Kreato Global across Latin America.

Ochish
RecruitGo

Remote Executive Assistant, Outreach and Marketing — Philippines

RecruitGo
51 – 200 Xodimlar
KonsaltingLogistikaMarketing

Handle administrative support, CRM, outreach, and marketing for RecruitGo, an Employer of Record serving global clients with talent from emerging markets. Support two UK-facing clients with day-to-day administration and creative campaigns.

Ochish