{"id":4024124,"url":"https://alion.io/job/merck-co-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3768,"name":"Merck & Co.","domain":"msd.com","url":"https://alion.io/company/msd","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":192,"ghost_share":0.031,"stale_share":0.156,"repost_share":0.177,"time_to_fill_p50_days":16,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Prague, Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"Context Engineering","optional":true},{"name":"Fine-tuning","optional":true}],"status":"live","first_seen_at":"2026-11-10T16:17:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T16:17:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\nAnimal Health IT AI and Analytics team is looking for a Senior AI Engineer. Our team supports our Animal Health business areas: research and development, manufacturing, supply chain, commercial and animal monitoring through data science and AI delivery. This role allows you to work on impactful AI products and collaborate with AI engineers, data scientists, building a community that learns, challenges, and inspires each other. Our team is shaping the AH Data Science and AI strategy, serves as a DS and AI community facilitator and helps non-technical colleagues to mature their understanding of DS and AI.\nPrimary Responsibilities\nHelping business stakeholders design and evaluate various AI solutions for their needs\nLeading technical implementation of AI projects, communicating with business stakeholders, and keeping the project aligned with their needs\nMentor and lead junior colleagues working on same projects\nWrite efficient and maintainable code following best practices in software engineering\nWorking with DevSecOps tools for deploying and versioning code\nSelect appropriate retrieval techniques, language models, and generative AI methodologies\nDocument AI models, algorithms, and processes thoroughly\nPrepare technical reports and presentations to communicate results and methodologies\nStay up to date with the latest advancements in AI and machine learning technologies\nParticipate in Agile ceremonies with the team to execute on prioritized projects and features\nImplement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems\nRequirements\n4+ years of experience in AI Engineering\nStrong communication and collaboration skills\nStrong understanding of SW and AI systems design together with programming skills in Python with a focus on backend development, backed by multiple AI SW products used by customers\nMust be analytical, detail-oriented, and able to balance multiple projects simultaneously\nProvable knowledge of building scalable AI Solutions (RAG, Agentic systems, etc..) within a modern technology stack including cloud services, data pipelines, databases, and other necessary tooling\nKnowledge of prompt and context engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies\nKnowledge of Restful APIs for AI models\nKnowledge of CI/CD and test-driven development\nFamiliarity with machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics)\nPreferred\nExperience with AWS Cloud\nExperience working in Agile Methodology\nExperience with the following Python packages: fastapi, pydantic, langchain, langgraph, sqlalchemy, celery, and similar\nDemonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains\nExperience with AI assisted coding\nExperience building, deploying, and managing docker images\nBachelors or Masters in Artificial Intelligence, Machine Learning, or Computer Science is highly preferred, but qualifications in other quantitative disciplines are appreciated as well\nOur Offer\nExciting work in a great team, global projects, international environment\nOpportunity to learn and grow professionally within the company globally\nPension and health (Canadian Medical) contributions\nInternal reward system plus referral program\n5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution\nCafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport card, Vodafone, Raiffeisen Bank and Foodora discount programs\nUp-to-date laptop and iPhone, parking in the garage, showers, refreshments\nCompetitive salary, incentive pay, and many more\nReady to take up the challenge? Apply now!\nKnow anybody who might be interested? Refer this job!\nAdditional location(s) Compensation Information:\nRequired Skills:\nArtificial Intelligence (AI), CI/CD, Collaboration, Communication, Detail-Oriented, Multitasking, Prioritization, Python (Programming Language), RESTful APIs, Test Driven Development (TDD)Preferred Skills:\nAgile Methodology, Amazon Web Services (AWS), Docker (Software)Current Employees apply HERE\nCurrent Contingent Workers apply HERE\nSearch Firm Representatives Please Read Carefully\nMerck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.\nEmployee Status:\nRegularRelocation:\nNo relocationVISA Sponsorship:\nYesTravel Requirements:\n10%Flexible Work Arrangements:\nHybridShift:\nNot IndicatedValid Driving License:\nNoHazardous Material(s):\nN/AJob Posting End Date:\n11/25/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. 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