Software AI engineer in cloud-native platforms

At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. As a Junior Software AI Engineer, you will start your career working with agentic AI, one of the fastest-growing areas in technology.

• Supporting the team in designing and building AI agents and agentic workflows.
• Developing custom tools, integrations, and automations for LLM-based solutions, primarily in Python.
• Experimenting with new AI technologies, frameworks, and approaches, and sharing your findings with the team.
• Testing and evaluating the quality of AI agents and their outputs.
• Writing clean, well-documented code and participating in code reviews.
• Learning modern engineering practices, including Git workflows, CI/CD, and cloud environments.
• Working closely with senior engineers and growing your skills through mentoring and hands-on project work.

• A degree (completed or in progress) in Computer Science, IT, or a related field.
• Knowledge of Python (preferred), Java, or SQL.
• Strong interest in AI technologies, especially AI agents, agentic AI, and LLMs.
• At least one personal, academic, or open-source project related to AI agents, agentic AI, or LLMs, described in your CV.
• Basic understanding of programming fundamentals, data structures, and algorithms.
• Eagerness to learn, curiosity, and a proactive approach to problem-solving.
• Good English communication skills, enabling collaboration in international teams.
• Будет плюсом: Experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI) or agent frameworks (e.g. LangChain, LangGraph, Semantic Kernel); Familiarity with core LLM concepts, such as prompt engineering, tool calling, or RAG; Experience with AI coding assistants (e.g. GitHub Copilot); Familiarity with Git and basic cloud concepts (Azure, AWS, or GCP); A public GitHub profile showcasing your projects

• Access to top e‑learning platforms and development budget
• Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
• Long-term collaboration via UZ/B2B - we value lasting partnerships
• Remote-first
• Flexible hours
• Work alongside exceptional engineers and experts
• Flat structure where every person matters and influences the company
• Full-company integration trips (including international ones)
• Team-level integration budgets
• Open, supportive, and collaborative culture
• Team integration budgets
• Open communication and supportive, passionate teams