AI/ML Senior Engineer

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 GeorgiaKazakhstanUzbekistan

Requirements

• Typically 5+ years in software or ML engineering; strong Python
• Knowing when a task needs AI and when plain code, a rule or a database query does it better
• LLM features and agents you took to production and kept running: function calling, RAG, agent workflows
• Agent frameworks: LangGraph, LlamaIndex or comparable
• Deployment to the cloud (Azure, AWS) and on premises, including local models
• Evaluation of LLM output: test sets agreed with the business, pass thresholds, error analysis
• Classical ML on tabular data: churn, segmentation, forecasting
• Planning the AI part of a project of 1 person-year or more, and leading 2–3 engineers on it
• Personal data and AI: GDPR, what may go to an external LLM provider and what may not
• Working English: you present results to the client's managers and defend a technical decision
• Not expected: depth in every kind of AI work. Depth in LLM applications is the core; the rest you pick up on projects

Responsibilities

• Turn a client's request into a scope and an estimate: what data exists, what AI can do with it, what it costs
• Build a first version fast and check it on the client's real data
• Say early when the data cannot support a feature, and show why
• Take the feature to production and keep it running
• Lead 2–3 engineers and present results to the client's manager

We offer

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota;
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Options to work remotely
• Corporate medical insurance covering services of private and public medical centers
• English courses online
• Corporate parties and events for employees and their children
• Internal conferences, workshops and meetups for learning and experience sharing
• Gym membership compensation
• 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Any questions?

Dina

[email protected]