AI Engineer

🏢 ОфисJuniorПолная занятость

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Есть о чём спросить

Навык востребован (AI), за такой навык на рынке платят больше. Но вилки нет, про деньги придётся договариваться с нуля.

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Наша компания

We are looking for a talented and innovative AI Engineer to join our Project Management and Software Development Department. The successful candidate will be responsible for designing, integrating, and delivering AI solutions that support business innovation, automation, and data-driven decision-making. This role is focused on applying modern AI capabilities to real business problems and owning projects end-to-end. It offers an opportunity to work on cutting-edge AI initiatives, collaborate with cross-functional teams, and contribute to the development of scalable and impactful AI-powered prod

Чем предстоит заниматься

Design, develop, and deploy AI solutions, including RAG systems, assistants, agents, document processing, and speech applications

Integrate AI capabilities into existing enterprise systems and services via APIs, using software development best practices

Evaluate and select models, providers, and frameworks for each task, balancing output quality, cost, and latency

Build and maintain evaluation processes for AI systems — test sets, quality metrics, and regression checks

Ensure production reliability: monitoring, logging, error handling, fallback strategies, and cost control

Research, evaluate, and implement emerging AI technologies

Develop reusable tools, automate workflows, and contribute to deployment and CI/CD processes

Prepare technical documentation, reports, and presentations related to AI solutions, methodologies, and system performance

Наши требования

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Mathematics, Engineering, Software Development, or a related field

At least 2 years of hands-on software engineering experience, with strong programming skills in Python (FastAPI, async, Pydantic) or in Node.js/TypeScript

Proven experience delivering at least one LLM-based system into a production

Solid understanding of how modern LLMs work in theory and in practice

Hands-on experience with RAG and LLM evaluations

Working knowledge of SQL, Git, Docker, REST API design, and modern software development practices

Experience deploying and maintaining services in cloud or on-premise environments

Ability to run a project independently, communicate directly with business stakeholders, and translate business needs into technical solutions

Fluent Russian and Kazakh; English sufficient to read technical documentation and research confidently

Strong analytical, problem-solving, communication, teamwork, and stakeholder management skills

Self-motivated, results-oriented, and passionate about continuous learning and AI innovation

Agentic frameworks, tool use, and the MCP

Classical ML and DL frameworks (PyTorch, TensorFlow, Scikit-learn), model fine-tuning, or model interpretability tools

Kubernetes, MLOps practices, CI/CD pipelines, and LLM observability tooling