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We are looking for an experienced AI Lead to own the design, development, deployment, and technical direction of production-grade AI solutions. The ideal candidate is a hands-on technical leader with 8+ years of software/AI engineering experience, strong expertise across Computer Vision, Speech AI, LLMs, AI Agents, Model Hosting, Backend Engineering, and Cloud Infrastructure, and a proven track record of taking AI products from PoC to production. Key Responsibilities Own the architecture and technical implementation of AI solutions from PoC to production. Define AI architecture, model selection, evaluation, deployment, monitoring, and optimization strategies. Design and integrate Computer Vision, Speech-to-Text (STT), LLM, and Text-to-Speech (TTS) solutions. Design and develop AI agents and agentic workflows using LangGraph. Evaluate, integrate, and optimize both commercial and open-weight AI models. Design and deploy infrastructure for self-hosting and serving AI models. Build scalable AI services and production APIs using Python and FastAPI. Deploy, operate, and optimize AI workloads on Google Cloud Platform (GCP). Establish best practices for AI testing, evaluation, observability, security, reliability, and performance. Lead, mentor, and support AI/ML engineers. Contribute to technical strategy, architecture decisions, and the overall AI roadmap. Translate business requirements into scalable and practical AI solutions. Mandatory Requirements1. Experience & Leadership 8+ years of professional experience in software engineering, AI/ML engineering, or a closely related technical field. Proven experience taking AI solutions from prototype to production. Proven experience leading technical projects, teams, or engineering initiatives. Strong ability to make and communicate technical decisions. 2. AI & Machine Learning Strong hands-on experience with Computer Vision models and production-grade CV applications. Hands-on experience with Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS). Strong understanding of model selection, evaluation, integration, optimization, and performance trade-offs. Experience working with open-weight AI models. Strong understanding of production AI challenges including accuracy, latency, scalability, cost, and reliability. 3. AI Agents & Agentic Systems Strong hands-on experience with LangGraph. Understanding of: Agent state and memory Tool calling Human-in-the-loop workflows Agent orchestration Agent evaluation Experience designing reliable, scalable, and production-ready agentic systems. 4. AI Model Hosting & Inference Hands-on experience with self-hosting and serving AI models. Strong understanding of: GPU inference Model serving Latency optimization Scalability Resource utilization Cost optimization Experience with technologies such as vLLM, Ollama, Hugging Face, or equivalent model-serving frameworks. 5. Backend & Cloud Engineering Strong Python development skills. Strong experience building production-grade APIs using FastAPI. Hands-on experience with Google Cloud Platform (GCP). Experience deploying and operating production AI workloads on cloud infrastructure. Strong understanding of Docker and containerized deployments. Ability to design scalable and reliable backend architectures for AI applications. 6. Technical Leadership Ability to lead technical decisions and mentor engineers. Ability to translate business and product requirements into practical AI architectures. Strong problem-solving and system-design skills. Strong communication and collaboration skills. Ability to balance technical excellence with business priorities. Nice to Have Experience with React or modern frontend development. Experience integrating Social Media APIs, including WhatsApp, Facebook, Instagram, or similar communication platforms. Experience with Vertex AI / Google Cloud AI services. Experience working with Gemini or other foundation models. Experience with RAG architectures and vector databases. Experience with AI observability and evaluation frameworks. Experience with MLOps / LLMOps. Experience building real-time voice or multimodal AI systems. Experience with model fine-tuning techniques such as LoRA / QLoRA. Experience with Kubernetes and production-grade cloud infrastructure. Experience designing AI systems with high availability and enterprise-level security requirements. What We Are Looking For We are looking for an AI leader who can own the AI technical direction while remaining deeply hands-on. You should be comfortable working across the full AI engineering lifecycle: Architecture → Model Selection → Prototyping → Development → Integration → Deployment → Monitoring → Optimization The ideal candidate is not someone who only understands AI concepts or experiments with models. We are looking for someone with real production experience who can design, build, deploy, operate, and continuously improve reliable AI systems at scale. The Role Requires Someone Who Can Think strategically. Build practically. Lead technically. If you are excited about building production-grade AI systems and shaping the technical direction of an AI-driven organization, we would love to hear from you. Show more

Role Overview Frontier Capital is seeking a practical, organized HR Officer to manage the people side of a growing team You will be the first dedicated HR resource in the company, responsible for recruitment, employee records, payroll inputs, and employee relations, while building simple, clear HR foundations that can scale as we grow This is a full-time position with a clear path to expand hours and responsibilities as headcount increases Key Responsibilities 1 Recruitment & Onboarding (priority for the first 6 months) Manage end-to-end hiring for upcoming roles: prepare job descriptions, post vacancies, screen CVs, and coordinate interviews and assessments Run a structured onboarding process, including documents, system access, and first-week plans, coordinating with our outsourced IT provider on equipment and accounts 2 HR Administration & Compliance Maintain accurate employee files, attendance, leave balances, and HR records Handle social insurance registration and updates, and keep contracts and probation dates tracked Manage resignations and terminations: notice periods, handovers, clearance, exit interviews, and final settlements Keep HR records confidential and stored in company systems 3 Compensation & Payroll Support Prepare monthly payroll inputs (attendance, leave, deductions, bonuses, and allowances) and send them to Finance for processing Maintain salary records and support the administration of performance and retainer-linked bonuses Help build a simple salary structure and a bonus policy 4 Employee Relations & Policy Development Act as the first point of contact for employee questions, concerns, and grievances, escalating sensitive matters to the Managing Director Draft and maintain a basic employee handbook and core HR policies (leave, working hours, remote and hybrid work, conduct) Set up a probation review and annual performance review process 5 Vendor & Cross-Team Coordination Coordinate HR-related matters with Finance, and with outsourced IT and CRM partners for joiners, leavers, and access What We're Looking For 3-5 years of HR experience, including at least 2 years as the sole or main HR person in a small or growing company Bachelor's degree in Business Administration, HR, or a related field An HR diploma or certification (CIPD, SHRM, or similar) is an advantage Proven experience in full-cycle recruitment Comfortable with payroll inputs, Excel, and HR record keeping Excellent communication in Arabic and English Show more

متطلبات الوظيفة: مؤهل من ابتدائى الى عالى رخصة قيادة مهنية (درجة أولي - ثانية) المزايا: راتب اساسى + عمولة بيع تأمين اجتماعى تأمين طبى ارباح سنوية زيادة سنوية حوافز اخرى

PROPÓSITO GENERAL Ejecutar tareas de cuidado a las aves dentro de la granja conforme procedimientos establecidos, para garantizar el desempeño según parámetros productivos requeridos FUNCIONES ESPECÍFICAS Proporcionar alimento y agua a los pollitos para garantizar la ganancia diaria de libras según parámetros establecidos. Manejar las condiciones de la cama dentro de la galera para garantizar el confort para el pollito. Supervisar la calefacción de las criadoras para asegurar que esté dentro de los límites establecidos. Elaborar reportes de mortalidad para garantizar la entrega oportuna de información para análisis y toma de decisiones. Realizar limpieza de tuberías (bebederos de agua) para asegurar la disponibilidad del agua en la galera. Realizar limpieza alrededor de las galeras para asegurar el orden y limpieza de las áreas. Ejecutar las medidas de control de roedores y plagas para asegurar las condiciones mínimas de sanidad de la granja. RESULTADOS CLAVE Dar cuidados necesarios al pollito durante su estadía en granja. Cuidar la calidad del pollo (salud, pigmento y aspectos físicos). DECISIONES PERFIL DE PUESTO Mínimo: Sexto primaria Formación académica Educación Primaria Educación Secundaria / High School Habilidades y experiencias Show more