{"id":3451260,"url":"https://alion.io/job/sensor-tower-ai-engineer-4","title":"AI Engineer","company":{"id":3805,"name":"Sensor Tower","domain":"sensortower.com","url":"https://alion.io/company/sensor-tower","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":77,"open_postings":54,"ghost_share":0.389,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Tbilisi, Georgia"],"countries":["GE"],"hiring_countries":["GE"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Amazon S3","optional":true},{"name":"FastAPI","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"OpenCV","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-29T08:26:20Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-30T13:33:45Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.\nOur mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.\nWe’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.\nWhat you’ll do\nBuild AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.\n\nChoose and use the right models for each task (mainly Claude), balancing quality, speed and cost.\n\nBuild data pipelines with our Data Engineer to run models on large volumes of game data.\n\nMeasure quality so we know what works and what doesn’t.\n\nBuild retrieval and multi-step pipelines.\n\nTurn the best prototypes into real product features together with our engineers.\n\nOur tech stack\nPython, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React\nWhat we’re looking for\nStrong Python (TypeScript is a plus).\n\nExperience with multimodal models: screenshots, images or video.\n\nHands-on experience building products on top of LLM APIs, not just chatbots.\n\nUnderstanding of RAG and vector search, and when they’re not needed.\n\nYou measure results and can show how well your solution works.\n\nYou can work independently and explain your decisions clearly.\n\nAbility to pass technical interview both in Russian & English.\n\nWhat we’d be particularly excited about\nInterest in or experience with mobile games, LiveOps or market analytics.\n\nHands on experience in building AI projects\n\nExperience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.\n\nFraud warning:\nIt's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.\nTo all recruitment agencies:\nSensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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