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 Georgia Kazakhstan Uzbekistan 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 betterLLM features and agents you took to production and kept running: function calling, RAG, agent workflows

Agent frameworks:
Lang Graph, Llama Index 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 whyTake 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 Pay Pal, 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 compensation5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Any questions?