{"id":2622681,"url":"https://alion.io/job/arabic-ai-ai-engineer","title":"AI Engineer","company":{"id":669443,"name":"Arabic.AI","domain":"arabic.ai","url":"https://alion.io/company/arabic-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":[],"countries":[],"hiring_countries":["EG"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OCR","optional":false},{"name":"RAG","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-15T14:00:27Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T21:33:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Purpose\nAs an AI Engineer at Tarjama&, you will be responsible for supporting the design, development, and deployment of agentic and multimodal AI solutions leveraging language, vision, and speech technologies. You will contribute to building scalable, production-ready AI products by assisting in model integration, evaluation, optimization, and data pipeline preparation. You will collaborate closely with senior\nRequirements\nDuties & Responsibilities\nAI Agentic Workflows & Frameworks\nDesign and implement AI agentic workflows that orchestrate language, vision, and speech models for multi-step tasks.\nBuild and extend task-driven, tool-using AI agents using modern agent frameworks and orchestration patterns.\nImplement decision logic, memory strategies (short-term and vector-based), and tool-calling mechanisms in production-ready systems.\nImprove agent reliability through structured prompting, planning strategies, and basic error-handling mechanisms.\nMultimodal AI Development (Text, Vision, Speech)\nDevelop and integrate text-based AI systems, including LLM pipelines, embeddings, rerankers, and RAG architectures.\nBuild document understanding pipelines using OCR and vision-based models to extract structured insights from complex documents.\nDevelop and optimize speech-based AI solutions, including STT, TTS, and conversational voice interfaces.\nDesign and improve multilingual and translation pipelines with attention to performance and quality.\nAI Product Development & Deployment\nOwn the development of specific AI components or features from design through deployment.\nDeploy, monitor, and optimize AI systems in production with guidance on scalability and cost-efficiency.\nCollaborate with engineering teams to integrate AI components into maintainable and scalable systems.\nImplement logging, monitoring, and basic observability practices to track system performance.\nModel Evaluation & Optimization\nDefine and apply evaluation metrics for AI systems, including accuracy, latency, and robustness.\nBenchmark and optimize models for inference performance and cost-efficiency.\nRun experiments and A/B tests to validate improvements and support data-driven decisions.\nIdentify common failure modes and contribute to improving model robustness and reliability.\nData Processing & Pipeline Support\nDesign and maintain data pipelines for text, document, and audio data across training and inference workflows.\nEnsure data quality and consistency in collaboration with data teams.\nAnalyze model outputs and user interactions to support iterative system improvements.\nCross-Functional Collaboration\nCollaborate with product managers, designers, and engineers to translate requirements into scalable AI solutions\n Partner with senior engineers on system design while independently handling well-scoped components. \nSupport integration, testing, and deployment of AI systems in production environments.\nDocumentation & Knowledge Sharing\nMaintain clear documentation for AI pipelines, agent workflows, and evaluation processes.\nContribute to team knowledge sharing through code reviews, demos, and technical discussions.\nFollow and help reinforce best practices for AI development and 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