{"id":790713,"url":"https://alion.io/job/uxbert-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":687486,"name":"uxbert","domain":"uxbert.com","url":"https://alion.io/company/uxbert","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":["SA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":96000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BERT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"Django","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Laravel","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"PHP","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Vertex AI","optional":false},{"name":"Airflow","optional":true},{"name":"Docker","optional":true},{"name":"Hugging Face","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-07-21T00:00:00Z","employer_posted_date":"2026-07-21","last_verified_at":"2026-10-29T08:56:15Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":100},"description":"Do you want to love what you do at work? Do you want to make a difference, an impact, transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?\nIf yes, then this is the job you're looking for. UXBERT Labs is one of the leading digital and user experience design agencies in the GCC, working with top regional and international brands such as STC, Amazon, Gucci, and more. As part of the Supertech Group-which also includes Hala Yalla, Saudi's #1 private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA-we are continuously expanding our innovation footprint.\nResponsibilities:\nWe are seeking a talented AI Engineer to join our team and bridge the gap between innovative\nideas and real-world applications. In this role, you will focus on applying existing AI models and\ntools to develop practical systems, rather than creating new AI algorithms from scratch. You will\nbe responsible for building robust, scalable applications that leverage large language models\n(LLMs), full-stack development, cloud technologies, and rapid prototyping techniques. The ideal\ncandidate thrives in a fast-paced environment, excels at turning concepts into functional\nprototypes quickly, and has a strong command of tools like LangChain and LangGraph to\nstreamline AI workflows.\nDesign, develop, and deploy full-stack applications that integrate AI models, with a focus\non LLMs for tasks such as natural language processing, generation, and automation.\nCollaborate with cross-functional teams to rapidly prototype and iterate on ideas,\nensuring quick turnaround from concept to production-ready solutions.\nUtilize LangChain and LangGraph to build efficient, stateful AI agents and multi-step\nworkflows that apply existing models to solve real-world problems.\nImplement cloud-based infrastructure (e.g., AWS, Azure, GCP) for hosting, scaling, and\nmanaging AI applications, including data pipelines, APIs, and deployment pipelines.\nParticipate in live coding sessions and rapid development sprints to demonstrate and\nrefine solutions in real-time.\nOptimize applications for performance, security, and reliability, ensuring seamless\nintegration of AI components into user-facing systems.\nTroubleshoot and debug complex issues across the stack, from frontend interfaces to\nbackend AI logic and cloud deployments.\nStay updated on emerging AI tools and best practices to continuously improve\ndevelopment processes and application efficiency.\nRequirements\nBachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence,\nor a related field (or equivalent experience).\nMinimum 10+ years of experience in full-stack development, with proficiency in frontend\n(e.g., React) and backend (e.g., PHP and Laravel, Node.js, Python, Django, Flask,\nFAST API) technologies.\nWorking knowledge of leading AI coding platforms and tools, including Claude, OpenAI\nCursor, and similar frameworks for building and integrating AI-driven applications\nStrong expertise in working with Large Language Models (LLMs) such as GPT, BERT, or\nsimilar, including fine-tuning, prompting, and integration into applications.\nHands-on experience with LangChain for chaining LLM calls and LangGraph for building\ngraph-based AI applications.\nProven ability in cloud platforms (e.g., AWS, Azure, GCP), including services for\ncompute, storage, databases, and AI/ML (e.g., SageMaker, Vertex AI).\nDemonstrated skills in live coding and rapid prototyping to quickly validate and\nimplement ideas.\nSolid understanding of software engineering principles, including version control (Git),\nCI/CD pipelines, and agile methodologies.\nExcellent problem-solving skills and the ability to work independently or in a team to\ndeliver high-quality results under tight deadlines.\nPreferred Skills\nExperience with additional AI frameworks like Hugging Face Transformers, TensorFlow,\nor PyTorch.\nKnowledge of containerization (Docker) and orchestration (Kubernetes) for deploying AI\napplications at scale.\nFamiliarity with data engineering tools (e.g., Apache Airflow, Spark) for handling AI data\npipelines.\nBackground in DevOps practices to automate infrastructure and deployment processes.\nStrong communication skills to explain technical concepts to non-technical stakeholders.\nBenefits\nCompetitive salary and benefits package.\nOpportunity to work on cutting-edge AI projects that impact real-world applications.\nFlexible work environment with remote options.\nProfessional development opportunities, including access to conferences and training.\nIf you are passionate about applying AI to solve practical challenges and can turn ideas into\nreality at speed, we encourage you to apply!","description_format":"text","description_chars":4751,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Professional 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