{"id":742935,"url":"https://alion.io/job/vesselbot-ai-engineer-logistics-sustainability-intelligent-agents","title":"AI Engineer - Logistics & Sustainability Intelligent Agents","company":{"id":689391,"name":"VesselBot","domain":"vesselbot.com","url":"https://alion.io/company/vesselbot","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"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":["Marousi, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Celery","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Redis","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-03-27T00:00:00Z","employer_posted_date":"2026-03-27","last_verified_at":"2026-11-06T11:31:35Z","board_verified":true,"closed_at":null,"days_open":224,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":224},"description":"About the Role\nVesselBot is seeking an AI Engineer to design and build intelligent, on-premise agents that support advanced data automation across the logistics and sustainability domains. These agents will power our next generation of systems-enabling automated data processing, contextual understanding, quality assessment, enrichment, and integration across complex multimodal supply chain environments.\nA major advantage in this role is that VesselBot already possesses extensive logistics, operational, and sustainability datasets across modes and partners. This means you will be working with real, rich, and complex data from day one-allowing you to focus on building intelligent systems rather than collecting or cleaning foundational inputs.\nThis role is ideal for an engineer who wants to work at the intersection of AI, data engineering, logistics, and emissions/sustainability technologies, and who enjoys translating real operational challenges into scalable, intelligent systems deployed fully on-premise.\nKey Responsibilities\nYou will:\nArchitect and develop AI-driven agents for logistics and sustainability data processes.\nBuild systems that autonomously analyze, interpret, and transform diverse operational datasets-including the extensive datasets already maintained by VesselBot.\nEnsure agents operate on-premise with high reliability, data governance, and security.\nBuild and maintain backend services in Python, including asynchronous programming patterns and message-queuing systems.\nDevelop and optimize APIs for real-time monitoring and operation of intelligent agents.\nWork with ML/LLM systems and integrate them into production-grade on-premise infrastructure.\nDesign and implement scalable data pipelines and processing systems using our existing logistics and sustainability data assets.\nCollaborate with domain experts to encode logistics and sustainability logic into intelligent components.\nMaintain and improve CI/CD pipelines, internal tooling, and development infrastructure.\nContribute to a reusable framework enabling rapid development and deployment of new agents across our platform.\nThis is a highly autonomous, builders-oriented role with significant ownership over foundational AI and data infrastructure.\nRequirements\nTechnical Background\nStrong Python expertise with production-level experience.\nFamiliarity with ML/LLM systems and experience integrating them into applications.\nExperience with asynchronous programming and message-queuing systems (e.g., Celery, RabbitMQ, Redis queues).\nSolid understanding of API design and real-time data processing.\nExperience designing or maintaining structured/semi-structured data pipelines and backend systems.\nComfort working with on-premise or private-cloud AI deployments.\nPreferred Domain Knowledge\nExposure to logistics, transportation, or supply chain data (shipments, carriers, schedules, routes, locations).\nUnderstanding of sustainability and emissions-related datasets and methodologies.\nExperience with vector databases, semantic search, embeddings, or agent-based architectures.\nWorking Style\nAble to design and deliver systems end-to-end with minimal oversight.\nComfortable shaping new capabilities in evolving technical domains.\nStrong communication, documentation, and collaboration skills.\nBenefits\nWhat We Offer\nThe opportunity to lead the development of core on-premise AI capabilities for a logistics-technology platform.\nImmediate access to extensive datasets that allow rapid prototyping, experimentation, and deployment of intelligent agents.\nA role blending autonomy, innovation, and real-world operational impact.\nCompetitive compensation and strong long-term growth opportunities.\nParticipation in a company-wide bonus scheme tied to performance.","description_format":"text","description_chars":3756,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics","Sea Freight","Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-09-11T13:11:51Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long 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