{"id":2158896,"url":"https://alion.io/job/falck-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":2044175,"name":"Falck","domain":"falck.com","url":"https://alion.io/company/falck-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Copenhagen, Denmark"],"countries":["DK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":223000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1986},"experience_years_min":5,"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":"Flask","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Svelte","optional":false},{"name":"LLM Guardrails","optional":true},{"name":"RAG","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-10-09T06:19:51Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T10:58:09Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the Job\nAs a senior member of our AI and Automation team, you will design, build, and deploy production-grade AI solutions that power Falck’s digital transformation. From voice AI features to the agentic frameworks behind Falck GPT, our internal LLM platform, you will own projects end-to-end, turning concepts into scalable, business-critical products.\nKey Responsibilities\nAI Solutions Development: Design, develop, and implement end-to-end AI solutions throughout their full lifecycle. This includes setting technical direction, architecting robust AI systems, coding production-grade applications, conducting thorough testing, and continuously optimizing performance. You will work extensively with AI-enabled applications, natural language processing technologies, and agentic frameworks to create intelligent solutions that address real business needs. \nCollaboration & Continuous Improvement: Work as part of a multidisciplinary team to integrate AI functionalities seamlessly into existing systems, and mentor less experienced engineers along the way. Propose innovative solutions to complex technical challenges and contribute to continuous process improvements. \nPlatform & Infrastructure Ownership: Own the deployment and operation of what you build - cloud infrastructure (primarily Microsoft Azure), CI/CD and infrastructure-as-code, data and retrieval pipelines, and the monitoring and evaluation that keep AI systems reliable in production. \nBusiness Partnership & End-to-End Delivery: Work directly with internal business stakeholders across Falck, scoping problems with them and delivering independently across the full lifecycle. \nAbout You\nQualifications \n5+ years of experience in Software Engineering, including hands-on experience building AI-powered products. \nProficiency in programming languages such as JavaScript, Python or similar. \nProficiency in modern frontend and backend web frameworks such as React (Next.js), Svelte, and Flask. \nSolid grasp of machine-learning fundamentals and a working understanding of how modern LLMs behave in production. \nProven experience designing and operating systems in production owning architecture decisions, reasoning about cost and latency trade-offs, and standing behind what you ship. \nExceptional problem-solving skills, a keen curiosity about recent advances in AI research, and the ability to apply innovative solutions to real-world problems. \nPreferred Skills\nFamiliarity with cloud platforms, particularly Microsoft Azure. \nExperience with deployment infrastructure, IaC and CI/CD. \nHands-on experience with agent frameworks and tool-calling architectures. \nExperience building retrieval pipelines (RAG) over messy, real-world data. \nFamiliarity with LLM evaluation and observability. \nExperience building AI responsibly: guardrails, prompt-injection defenses, and data protection in LLM systems. \nWhat We Offer\nHigh-Impact Work - 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