Itransition has a new AI team that builds AI solutions for clients in any industry. Its projects range from adding AI to a system the client already runs to building a new product, and its work spans agents, assistants, and chat interfaces, as well as backend routing and optimisation, computer vision, and language model fine-tuning. As a Senior AI/ML Engineer, you will be one of the first engineers on the team. You will take a project from the client's request to a production feature and lead 2–3 engineers on the project. In this role, the hard part is usually the data and the client's process, not the model. A project phase may end with evidence that the data cannot support the feature. That is a valid result when it comes early and explains why. What is specific to this team: - A new team: the first projects set how it works - Direct contact with the client's managers and data - A justified \"this will not work\" counts as a result, not a failure If you are close but not across all of it, apply anyway and say where you are unsure.office remote GeorgiaKazakhstanUzbekistanRequirementsTypically 5+ years in software or ML engineering; strong PythonKnowing when a task needs AI and when plain code, a rule or a database query does it betterLLM features and agents you took to production and kept running: function calling, RAG, agent workflowsAgent frameworks: LangGraph, LlamaIndex or comparableDeployment to the cloud (Azure, AWS) and on premises, including local modelsEvaluation of LLM output: test sets agreed with the business, pass thresholds, error analysisClassical ML on tabular data: churn, segmentation, forecastingPlanning the AI part of a project of 1 person-year or more, and leading 2–3 engineers on itPersonal data and AI: GDPR, what may go to an external LLM provider and what may notWorking English: you present results to the client's managers and defend a technical decisionNot expected: depth in every kind of AI work. Depth in LLM applications is the core; the rest you pick up on projectsResponsibilitiesTurn a client's request into a scope and an estimate: what data exists, what AI can do with it, what it costsBuild a first version fast and check it on the client's real dataSay early when the data cannot support a feature, and show whyTake the feature to production and keep it runningLead 2–3 engineers and present results to the client's managerWe offerProjects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota;Competitive compensation that depends on your qualification and skillsCareer development system with clear skill qualificationsFlexible working hours aligned to your scheduleOptions to work remotelyCorporate medical insurance covering services of private and public medical centersEnglish courses onlineCorporate parties and events for employees and their childrenInternal conferences, workshops and meetups for learning and experience sharingGym membership compensation5 days of paid sick leave per year with no obligation to submit a sick-leave certificateAny questions?Dinahh@itransition.com