{"id":3486546,"url":"https://alion.io/job/mticket-python-ai-backend-runtime-engineer","title":"Python AI Backend / Runtime Engineer","company":{"id":2547996,"name":"MTicket","domain":"mticket.com.ua","url":"https://alion.io/company/mticket-com-ua","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":76000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-29T19:13:10Z","employer_posted_date":null,"last_verified_at":"2026-10-29T19:13:10Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Python AI Product Engineer (FastAPI / LLM)\nLocation: Remote (Europe / Ukraine)\n\nEmployment: Full-time\n\nCompany: MTicket\nAbout Us\n\nMTicket is a technology company operating in the ticketing and live events industry. Our platforms support ticket sales, event management, payments, marketing, customer interactions, and various business operations.\n\nWe are actively developing our AI engineering direction to introduce intelligent automation and AI-powered functionality into our products and internal processes.\n\nWe're looking for a Senior Python AI Product Engineer who can turn ideas and business challenges into real, production-ready AI solutions.\n\nThis is a hands-on engineering role for someone who enjoys building products, experimenting with modern AI capabilities, and delivering working solutions.\n\nWe're not looking for someone who simply uses AI coding assistants. We need an engineer who has already built and launched AI-powered applications using LLM APIs.\nWhat You'll Do\nDesign, develop, and launch AI-powered applications and product features using Python and FastAPI.\n\nIntegrate LLMs such as OpenAI, Anthropic, or similar providers through APIs.\n\nBuild intelligent assistants, AI agents, and automated workflows to solve real business problems.\n\nDevelop backend services that connect AI capabilities with existing business systems.\n\nImplement LLM tool/function calling, structured outputs, and multi-step workflows.\n\nIntegrate third-party APIs, databases, and internal services.\n\nWork on AI solutions for ticketing, customer support, marketing, analytics, and operational processes.\n\nCollaborate with other engineers to build scalable and reliable AI-powered functionality.\n\nTake ownership of features from technical design and implementation to deployment and production support.\n\nContinuously improve AI functionality, response quality, performance, and API usage costs.\n\nOur Tech Stack\nBackend: Python, FastAPI\n\nAI: LLM API integrations (OpenAI, Anthropic, or similar)\n\nArchitecture: REST APIs, backend services, third-party integrations\n\nDevelopment: Git\n\nOur approach is pragmatic: we choose technologies based on the problem we're solving rather than relying on a specific AI framework.\nWhat We're Looking For\n3+ years of professional Python backend development experience.\n\nSolid commercial experience with FastAPI and backend API development.\n\nProven experience building and launching AI-powered applications or product features in production.\n\nHands-on experience integrating LLMs through APIs (OpenAI, Anthropic, Gemini, or similar).\n\nExperience developing AI assistants, AI agents, intelligent automation, or multi-step LLM workflows.\n\nStrong understanding of REST APIs, integrations, databases, and backend architecture.\n\nExperience implementing and maintaining production applications.\n\nAbility to independently design and deliver complete features.\n\nUnderstanding of AI application limitations, error handling, response validation, and API cost management.\n\nStrong problem-solving skills, ownership, and a product-oriented mindset.\n\nUkrainian or Russian language proficiency at C1 level or higher.\nNice to Have\nExperience developing AI-first SaaS products or commercial AI applications.\n\nHands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.\n\nExperience with RAG, embeddings, vector databases, or MCP.\n\nExperience building AI workflows involving multiple tools or external services.\n\nFamiliarity with LLM evaluation, prompt optimization, and structured output validation.\n\nExperience in e-commerce, marketplaces, payments, ticketing, or marketing automation.\n\nExperience with cloud infrastructure, Docker, and asynchronous backend processing.\n\nExperience independently shipping products from idea to production.\n\nWhat Makes a Great Candidate\nWe especially value engineers who have already built real AI applications and can confidently explain:\n\nWhat AI product or functionality they developed.\n\nWhat problem it solved and who used it.\n\nHow LLM APIs were integrated into the application.\n\nWhat backend architecture and integrations they implemented.\n\nWhich parts of the solution they personally owned.\n\nHow they handled errors, unexpected AI responses, and production challenges.\n\nHow the product was deployed and improved based on real-world usage.\n\nWe value practical engineering experience, independent thinking, and the ability to deliver useful products over knowledge of specific frameworks.\nWhat We Offer\nThe opportunity to build AI-powered products for an established ticketing and live events business.\n\nA growing AI engineering direction with significant room for innovation.\n\nReal business challenges where your work can have a measurable impact.\n\nOwnership of AI functionality from idea to production.\n\nDirect collaboration with engineering and business teams.\n\nFreedom to propose technical solutions and experiment with modern AI technologies.\n\nA fully remote working environment.\n\nA collaborative team and a practical, results-oriented engineering culture.\nInterested?\nIf you've already built AI-powered products using Python and LLM APIs, enjoy solving real business problems, and want to see your solutions used in production, we'd love to hear from you.\n\nWhen applying, please briefly describe an AI-powered product or feature you've personally built and launched. 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