{"id":4095979,"url":"https://alion.io/job/matchtech-ai-engineer","title":"AI Engineer","company":{"id":2073484,"name":"Matchtech","domain":"matchtech.com","url":"https://alion.io/company/matchtech-com","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":100,"open_postings":39,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":40000,"max":40000,"currency":"GBP","period":"year","gross":null,"usd_annual":53136},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Design Controls","optional":false},{"name":"Function Calling","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-11-11T21:05:53Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T21:05:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"AI Engineer (Permanent) Must be a British Citizen due to the nature of the company and work required Salary: £40,000-45,000 per annum Employment type: Permanent Working pattern: On-site\nOur client, a growing maritime technology and defence business, is seeking an AI Engineer to help design, develop and deploy secure AI capabilities across the organisation. This role will focus on practical AI adoption across Engineering, Production, Manufacturing, IT & Security and wider corporate functions improving productivity, decision-making, access to information and operational efficiency.\nThe role\nDesign, prototype, deploy and support secure AI applications, assistants, agents, knowledge systems and workflow automations using approved Microsoft, cloud-hosted and local platforms\nDevelop retrieval-augmented generation (RAG), semantic search and knowledge-management solutions, connecting AI safely to approved systems, documents, databases and APIs\nDesign, deploy and govern Model Context Protocol (MCP) servers, clients and tools to securely connect AI applications to approved business systems and data\nImplement safeguards: authentication, least-privilege permissions, input validation, audit logging and human approval for sensitive actions\nEvaluate AI models, platforms, suppliers and use cases for accuracy, security, privacy, data residency, performance, cost and long-term supportability\nHelp define and maintain AI governance, risk assessments and technical standards\nApply secure-by-design controls including data classification, encryption, secrets management, role-based access, and separation of dev/test/prod environments\nProtect against AI-related risks (data leakage, prompt injection, malicious content, insecure outputs, unsafe tool use, excessive agent permissions)\nMonitor AI services for unusual activity, failures and unexpected behaviour\nSupport and improve relevant business systems where needed to enable AI adoption and operational improvement\nDeploy/configure/manage secure AI applications and supporting services across Linux systems, containers and virtual machines, including monitoring, patching, backup and recovery\nWhat we're looking for\nPractical experience designing, developing, deploying or supporting AI-enabled applications, integrations and workflow automations\nWorking knowledge of LLMs, RAG, semantic search, AI agents and Model Context Protocol\nExperience deploying and operating applications across Linux systems, containers and virtual machines\nExperience of monitoring, patching, backup and recovery within application environments\nExperience working with APIs, structured data, system integrations, authentication and role-based access control\nFamiliarity with source control and automation/scripting\nUnderstanding of secure development, AI governance, information security, data protection, auditability and responsible AI principles\nStrong analytical/troubleshooting skills with clear communication and documentation\nBenefits\n25 days holiday per year, plus paid bank holidays\nAdditional annual leave after 2 years' service (up to 5 extra days)\nHoliday buy/sell (up to 5 days per calendar year)\nFlexi working (core hours 10:00-15:00, subject to departmental requirements)\nPrivate Medical Insurance (optional family cover)\nPension scheme (5% employer contribution)\nLife 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