{"id":2694407,"url":"https://alion.io/job/cpjobs-senior-ai-engineer-full-stack-developer-linux-web-2","title":"Senior AI Engineer / Full Stack Developer (Linux, Web)","company":{"id":702778,"name":"CPjobs","domain":"cpjobs.com","url":"https://alion.io/company/cpjobs","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":"cpjobs.com","ats_vendor":"Schema","truth_index":{"grade":"B","score":82,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0.2,"time_to_fill_p50_days":29,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong 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Intelligence (AI) and Generative AI solutions and initiatives.\n\nConduct technical evaluations, proof-of-concept (PoC) studies, and feasibility assessments of AI technologies, including Large Language Models (LLMs), AI platforms, hardware accelerators, and open-source AI solutions.\n\nDeploy, configure, integrate, test, and troubleshoot AI models, applications, and supporting platforms across on-premises, virtualised, cloud, and containerised environments.\n\nEvaluate, optimise, and maintain AI models and LLM services, including model selection, inference deployment, performance tuning, quantisation, and API integration.\n\nDesign and implement AI solution architectures, including Retrieval-Augmented Generation (RAG), vector databases, knowledge management systems, model-serving platforms, guardrails, and enterprise integrations.\n\nAssess AI infrastructure requirements covering compute, GPU/NPU resources, memory, storage, networking, scalability, and performance 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evaluations.\n\nProvide operational support and troubleshooting for AI infrastructure, applications, and related platforms.\n\nKeep abreast of emerging AI technologies, industry trends, and best practices.\n\nJob Requirements\nBachelor's degree or above in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related discipline.\n\nMinimum 4 years' post-qualification IT experience, including at least 2 years of hands-on experience in Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or related fields.\n\nProven experience in deploying, configuring, integrating, or supporting AI and Large Language Model (LLM) solutions.\n\nSolid understanding of LLM technologies, including inference serving, prompt engineering, tokenisation, context management, model optimisation, and performance tuning.\n\nKnowledge of AI infrastructure, including CPU, GPU, NPU, storage, networking, and high-performance computing environments.\n\nHands-on experience with Linux administration, scripting, and container technologies such as Docker and Kubernetes.\n\nProficiency in Python and experience developing or integrating applications through APIs and AI frameworks.\n\nFamiliarity with open-source AI ecosystems, including LLM frameworks, model repositories, inference engines, vector databases, and related tools.\n\nExperience evaluating AI solutions for functionality, scalability, security, performance, and production deployment.\n\nExperience preparing technical documentation, architecture designs, solution proposals, evaluation reports, and technical specifications.\n\nStrong stakeholder management skills with experience coordinating users, technical teams, contractors, and vendors.\n\nKnowledge of AI governance, cybersecurity, data protection, and responsible AI practices is an advantage.\n\nGood command of written and spoken English and 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