{"id":2165581,"url":"https://alion.io/job/eset-ai-enablement-software-engineer-mfn","title":"AI Enablement Software Engineer (m/f/n)","company":{"id":44798,"name":"ESET","domain":"eset.com","url":"https://alion.io/company/eset","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bratislava, Slovakia","Brno, Czech Republic"],"countries":["SK","CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"ESET","optional":true},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-15T19:20:56Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Summary\nAI is reshaping how software gets built, and we're moving fast to make it a standard part of engineering at scale. With an estate of more than 3,000 repositories, we have one of the largest and most interesting AI enablement challenges in the industry - and we're looking for the person who wants to participate on it.Job description\nThis role is about turning AI from promise into measurable impact. You'll build the configurations, tooling, and patterns that let delivery teams plug AI directly into their day-to-day work, and you'll lead the mentoring classes and educational sessions that spread that capability across the organization.\nIf you're a senior engineer who loves both deep technical work and helping teams adopt AI confidently, this is a rare chance to shape how thousands of engineers work every day.\nWhat you will do\n Configure repositories for AI - design, build, and roll out repeatable configurations (rules, instructions, context files, MCP/tool integrations, CI hooks) across a large and diverse repository estate.\nDevelop internal AI apps for software engineering - build practical tools, assistants, dashboards, and workflow integrations that help engineering teams use AI safely and effectively in daily development, testing, code review, documentation, and repository maintenance.\nDeliver end-to-end solutions, not advice - prepare functional, production-ready setups that teams can adopt without rebuilding them from scratch.\nScale enablement - replace repetitive tasks with automation, build self-service tooling, and reusable playbooks so hundreds of teams can be onboarded without proportional effort.\nAct as the internal AI advocate - stay ahead of tooling developments, evaluate new capabilities, and set standards and best practices for AI usage in engineering.\nWhat you bring\nRequired\nExtensive hands-on software engineering experience (3+ years), with credibility across multiple languages, stacks, and repository setups.\nPractical experience configuring and using AI coding assistants and agentic developer tooling in real codebases.\nSolid Git, CI/CD, and developer-tooling/automation background.\nAbility to work independently, drive initiatives end to end, and operate across many teams at once.\nFluent English (written and spoken).\nNice to have\nExperience with large-scale developer enablement, platform engineering, or DevEx programs.\nScripting and automation skills for mass repository operations at scale.\nExperience defining and tracking engineering productivity metrics.\nA track record of public speaking, community talks, or technical content creation.\nSuccess in the first 12 months\nA standardized, reusable AI configuration pattern adopted across the repository estate, with a clear path to covering 500 repositories.\nEnablement shifted from slow one-to-one mentoring to a scalable program of classes, templates, and self-service assets.\nMeasurable, reported productivity impact from AI-enabled teams, trending toward the 40% target.\nA recognized internal community of AI champions inside the delivery teams.\nBasic wage component (brutto): from 2500 EUR/m.\n* The final basic wage component can be increased accordingly to individual skills and experience of the selected candidate.\n* Performance bonus 2 times per year up to 10% of the basic salary paid for the evaluation period(usually 6 months).\n#LI-MF1 #senior #medior #LI-Hybrid\nBenefits\nHealth & well-being\nBenefitPlus\nHealthcare (check-ups/annual programs)\nMultisport card\nTravel card \"električenka\"\nSupplementary pension saving\nSick days\nFamily\nMarriage allowance\nChildbirth allowance\nParental contribution\nESET family events (Family day, St.Nicholas)\nOffice\nRefreshments in the office (fruits, coffee, soft drinks)\nLet´s get together breakfast\nActivity room, quiet room\nESET events (Žranica, Christmas party..), teambuildings\nOther\nLoyalty allowance\nLoyalty extra days off\nLoyalty cake\nLoyalty glass award\nRefer a friend\nChristmas presents\nDiscounts from external providers\nPrimary location\nBratislavaAdditional locations\nBrnoTime type\nFull 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