{"id":1706626,"url":"https://alion.io/job/mobilexpense-ai-engineering-intern","title":"AI engineering intern","company":{"id":54467,"name":"Mobilexpense","domain":"mobilexpense.com","url":"https://alion.io/company/mobilexpense","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brussels, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":63000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":263},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-02T13:34:24Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-04T01:38:18Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Team: AI Enablement\nDuration: Approximately three months\nLocation and working arrangement: Brussels HQ\nWorking language: English\nAbout the internship\nMobilexpense is looking for an AI Engineering Intern to join the AI Enablement team and contribute to a substantial AI project with real internal users and business value.\nDuring the internship, you will take ownership of one primary project, from technical exploration and architecture through development, testing, deployment, and demonstration. You will work closely with our AI Engineer and collaborate with teams such as Security, Data, DevOps, IT, Product, and other business functions depending on the assignment.\nThis internship is intended for someone with solid software development foundations and genuine curiosity about artificial intelligence. We do not expect you to already be an experienced AI Engineer, but we are looking for someone who actively experiments with AI, understands that building a reliable AI application involves more than writing prompts, and wants to develop practical expertise in the field.\nThe final project will be selected according to Mobilexpense priorities, the internship period, and your background and interests. It will be scoped to provide meaningful technical ownership throughout the three-month internship.\nPossible internship projects\nInternal Knowledge Assistant using RAG\nDesign and build an assistant that allows employees to retrieve reliable information from internal company knowledge.\nThis would be an end-to-end Retrieval-Augmented Generation project rather than a simple chatbot. The work could include:\nDocument collection, parsing, cleaning, and metadata extraction.\n\nChunking strategies for structured and unstructured documents.\n\nGenerating and managing embeddings.\n\nStoring content in a vector database.\n\nImplementing semantic vector search, hybrid search, or reranking.\n\nBuilding a complete RAG pipeline using an OpenAI model.\n\nProducing grounded answers with source citations.\n\nApplying permissions and access boundaries to retrieved content.\n\nCreating an evaluation dataset to measure retrieval quality, answer accuracy, and hallucinations.\n\nExposing the solution through an API or a small internal application.\n\nDocumenting the architecture, limitations, and possible production path.\n\nThe objective would be to deliver a technically credible prototype and demonstrate, through evaluation, whether it provides sufficiently reliable answers for a defined internal use case.\nPrivacy Aware AI Gateway and MCP Service\nDesign, develop, and deploy an internal service that controls how sensitive information is handled before content is sent to an AI model.\nThe project could include:\nBuilding an API or Model Context Protocol server that sits between an internal application and OpenAI.\n\nDetecting personal, confidential, or customer-related information.\n\nApplying configurable anonymisation, replacement, or filtering rules.\n\nPreserving the usefulness and context of the original request after anonymisation.\n\nIntegrating authentication and user or application permissions.\n\nImplementing structured outputs, error handling, audit logs, and traceability.\n\nCreating representative test datasets and measuring anonymisation quality.\n\nTesting potential prompt injection and data leakage scenarios.\n\nPackaging the solution as a deployable service.\n\nCollaborating with Security to validate the data-handling approach.\n\nCollaborating with DevOps on deployment, configuration, secrets management, monitoring, and CI/CD.\n\nDocumenting known limitations and operational requirements.\n\nThe objective would be to move beyond an isolated proof of concept and deliver a service that can be deployed and tested in a realistic internal environment.\nWhat you will do\nUnderstand a business problem and translate it into a realistic technical scope.\n\nDefine the project architecture, milestones, and success criteria with your internship supervisor.\n\nResearch possible approaches and explain their advantages, limitations, and trade-offs.\n\nDesign and implement an AI-powered application, API, integration, or internal service.\n\nIntegrate language models with approved data sources, APIs, and business tools.\n\nWork with technologies such as RAG, embeddings, vector search, structured outputs, tool calling, agents, or MCP when relevant.\n\nEvaluate the solution for accuracy, reliability, latency, cost, security, and privacy.\n\nBuild tests for both traditional software behaviour and AI-specific behaviour.\n\nUse Git and follow normal software development and review practices.\n\nDocument the architecture, setup, technical decisions, assumptions, and known limitations.\n\nPresent progress regularly, collect feedback, and improve the solution iteratively.\n\nPrepare the solution for deployment in collaboration with the relevant technical teams.\n\nDeliver a final demonstration and recommendations for possible next steps.\n\nRequirements\nWho we are looking for\nYou are studying computer science, software engineering, applied IT, artificial intelligence, data, engineering, or another programme with a meaningful software development component.\n\nYou have solid programming foundations in at least one modern language.\n\nYou can design, write, debug, and test a small application or service.\n\nYou understand core software engineering concepts such as modular code, error handling, configuration, dependencies, and basic automated testing.\n\nYou have worked with HTTP or REST APIs, JSON, and Git.\n\nYou understand the basic purpose of authentication and authorisation when connecting applications and services.\n\nYou are interested in working with LLM APIs, prompts, context management, structured outputs, tool calling, and external data sources.\n\nYou understand that an AI feature must be evaluated for reliability and failure cases rather than considered complete when the first demonstration works.\n\nYou can investigate an unfamiliar technical subject, compare possible solutions, and explain what you learned.\n\nYou are comfortable asking questions, receiving feedback, and be autonomous.\n\nYou can communicate, collaborate, and document your work professionally in English.\n\nUseful but not mandatory\nExperience with any of the following would be valuable:\nOpenAI APIs, Azure AI, or another LLM API.\n\nGitHub Copilot or another AI-assisted development tool, combined with the ability to review and validate generated code.\n\nRAG, embeddings, vector databases, semantic search, or reranking.\n\nTool calling, AI agents, or MCP.\n\nOAuth or another modern authentication mechanism.\n\nBuilding and consuming web APIs.\n\nContainers, CI/CD, application deployment, or monitoring.\n\nAutomated evaluation of AI outputs.\n\nData privacy, application security, prompt injection, or responsible AI.\n\nDeveloping a technical proof of concept and presenting its results.\n\nWhat the internship offers\nOwnership of a substantial AI engineering project rather than a collection of isolated exercises.\n\nRegular guidance and technical feedback from an AI Engineer.\n\nExperience applying AI to concrete business problems in a SaaS environment.\n\nCollaboration with technical and non-technical colleagues across several teams.\n\nExposure to the complete lifecycle of an AI solution: discovery, architecture, implementation, evaluation, deployment, documentation, and demonstration.\n\nThe opportunity to experiment with emerging AI technologies while learning how to assess their practical limitations.\n\nThe possibility of being considered for a future position at Mobilexpense following the internship, depending on your performance, mutual fit, company needs, and available opportunities. This should not be considered a guaranteed employment offer.","description_format":"text","description_chars":7700,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Security Compliance"],"lifecycle":[{"event":"open","at":"2026-10-02T15:04:50Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":43,"reasons":["conf:14","win:early","comp:junior,attention"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mobilexpense-ai-engineering-intern","json_url":"https://alion.io/job/mobilexpense-ai-engineering-intern.json","meta":{"generated_at":"2026-10-04T02:13:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3056,"day_limit":5000,"remaining_today":1944,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}