{"id":712914,"url":"https://alion.io/job/finaira-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":677506,"name":"Finaira","domain":"finaira.ai","url":"https://alion.io/company/finaira","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":40000,"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":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Explainable AI","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-06T00:00:00Z","employer_posted_date":"2026-09-06","last_verified_at":"2026-11-04T17:26:54Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":59},"description":"The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.\nThe difference you will make\nAct as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection). \nLead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure. \nEvaluate and integrate new AI/ML research, algorithms, and technologies into product development. \nDrive continuous improvement in MLOps, model monitoring, and model governance frameworks. \nProvide expert technical guidance and mentorship to other AI Engineer 1s and Associates. \nConduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines. \nParticipate in strategic planning for AI initiatives, identifying opportunities for technological advancement. \nInfluence technical direction and architecture discussions within the AI/ML team and across engineering. \nLead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.\nRequirements\nEducation:\nBachelor’s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. \nExperience:\n5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production. \nDemonstrated deep expertise in a specific AI sub-field.\nTechnical Skills:\nExpert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX). \nExtensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray). \nDeep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments. \nStrong architectural design skills for complex data pipelines and scalable AI inference systems. \nProficiency in system design, distributed systems, and performance optimization. \nAbility to critically evaluate and apply academic research to real-world problems.\nSoft Skills:\nStrong ownership and accountability for assigned work. \nClear and professional verbal and written communication. \nEffective time management and task prioritization. o Analytical thinking and problem-solving skills. \nAbility to work independently, collaborate effectively and mentor junior team members. \nAbility to actively listen to customers and accurately understand their needs, expectations, and challenges. \nAdaptability and learning agility in a fast-paced environment. \nStrong attention to detail and a commitment to quality. \nReceptiveness to feedback and continuous improvement mindset\nFinaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. 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