Education and work experience

• Experience in the Tech/AI industry: Experience in the position of Head of L&D, T&D Director, or HRD in product IT companies, AI startups, or large technological ecosystems for 3–5 years is required.

• Education: Higher education (IT, management, HR management, psychology). A huge plus will be a technical background or understanding of the specifics of software/AI product development.

• International experience: Desirable experience working with distributed (remote) international teams and knowledge of English at the Upper-Intermediate/Advanced level to work with global benchmarks and providers.

Professional knowledge and skills (Hard Skills)

• Understanding of AI talents: Deep understanding of career tracks, motivation, and burnout of IT specialists (Data Scientists, ML engineers, LLM developers, PMs).

• AI in HR (Tech HR): Experience in implementing AI tools in training, evaluation, and staff adaptation processes (for example, using AI for course personalization, engagement analysis, or onboarding automation).

• Upskilling & Reskilling: Skills in quickly building retraining programs for new technological stacks and tools (for example, generative AI, new frameworks).

• Knowledge Management: Experience in creating a unified knowledge base, peer-to-peer learning systems (developers teaching developers), and facilitating internal tech talks/hackathons.

• Data-driven approach: Ability to work with HR analytics, efficiency metrics (eNPS, Time to Productivity, Retention rate, ROI of training) based on data, not intuition.

Personal and managerial qualities (Soft Skills)

• Agile mindset: Willingness to work in conditions of high uncertainty, flexibility, ability to quickly change focus and development strategies in response to changes in the AI market.

• Developed emotional intelligence (EQ): Ability to find an approach to complex engineering talents ("introverts"), prevent burnout in conditions of high work pace.

• Culture of experimentation: Willingness to test non-standard training formats (gamification, micro-learning in messengers, VR/AR).

Key tasks in Koz AI

• Talent development strategy: Synchronizing training and development plans of employees with the strategic roadmap of Koz AI product development.

• Adaptation (Onboarding): Building a fast and seamless process for bringing IT specialists to full project capacity (reducing Time to Productivity).

• Retention: Developing individual development plans (IDPs) and transparent grades to minimize poaching of employees by international giants.

• Development of AI literacy: Enhancing the qualifications of non-technical teams in the company (marketing, sales, HR) in the use of company products and AI tools.

• Internal employer brand: Building a strong engineering community within the company, organizing internal hackathons, R&D sessions, and knowledge sharing.

Education and work experience

• Experience in the Tech/AI industry: Mandatory experience in the position of Head of L&D, T&D Director, or HRD in product IT companies, AI startups, or large technological ecosystems for 3–5 years.

• Education: Higher education (IT, management, human resources, psychology). A huge plus will be a technical background or understanding of the specifics of software / AI product development.

• International experience: Experience working with distributed (remote) international teams and knowledge of English at the Upper-Intermediate/Advanced level is desirable for working with global benchmarks and providers.

Professional knowledge and skills (Hard Skills)

• Understanding of AI talent specifics: Deep understanding of career tracks, motivation, and burnout of IT specialists (Data Scientists, ML engineers, LLM developers, PMs).

• AI in HR (Tech HR): Experience implementing AI tools in training, evaluation, and employee onboarding processes (e.g., using AI for course personalization, engagement analysis, or onboarding automation).

• Upskilling & Reskilling: Skills in quickly building retraining programs for new technological stacks and tools (e.g., generative AI, new frameworks).

• Knowledge Management: Experience in creating a unified knowledge base, peer-to-peer learning systems (developers teaching developers), and facilitating internal tech talks/hackathons.

• Data-driven approach: Ability to work with HR analytics, performance metrics (eNPS, Time to Productivity, Retention rate, ROI of training) based on data, not intuition.

Personal and managerial qualities (Soft Skills)

• Agile mindset: Willingness to work in conditions of high uncertainty, flexibility, ability to quickly change focus and development strategies in response to market changes in AI.

• Developed emotional intelligence (EQ): Ability to connect with complex engineering talents ("introverts"), prevent burnout in high-paced work environments.

• Culture of experimentation: Willingness to test unconventional training formats (gamification, micro-learning in messengers, VR/AR).

Experience in commercial web application development from 1 year (Node.js + React or similar stack). Confident work with databases (PostgreSQL/MySQL), familiarity with Prisma is a plus. Experience in integrating payment APIs is welcome. Independence and willingness to work in a small startup team.

What is important

• Practical experience in performance marketing from 2 years.
• Experience in promoting SaaS, AI products or international digital services.
• Successful cases of launching and scaling paid advertising campaigns.
• Confident use of Google Ads, Meta Ads, GA4 and analytics tools.
• Understanding of SaaS metrics, unit economics and subscription monetization model.
• Ability to independently manage advertising budgets and make data-driven decisions.
• English language from B2 for working with international markets.

We are looking for an IT specialist at the Middle level or higher with a broad technical outlook, understanding of business processes, and experience in team management. We need a specialist who can independently solve current IT tasks, ensure the stable operation and development of the systems used, and effectively coordinate the work of the team.

Meeting the following points will be a plus:

• Knowledge of the basics of system administration.
• Experience working with CRM systems and understanding of their setup and maintenance principles.
• Experience in coordinating or managing a team.
• Ability to independently find solutions and understand new technologies and systems.
• Systemic thinking, organizational skills, and communication skills.\n\n

• education: higher, secondary special, technical;
• fluent in Russian and English;
• ability to correctly, convincingly, and clearly convey information;
• experience working in a telecommunications company, preferably in a technical position;
• understanding of the principles of functional testing;
• good knowledge of approaches and methodologies used in software development;
• Excellent understanding of application functionality and quality control of development!

• Education in accounting, finance, or economics.
• Work experience of 1 year or more is an advantage.
• Knowledge of the basics of accounting and tax accounting in the Republic of Kazakhstan.
• Proficient in Excel, preferably knowledge of 1C.
• Attention to detail, responsibility, and accuracy.
• Readiness to learn and grow.

• Confident knowledge of C# and the .NET platform.
• Experience in creating RESTful API using ASP.NET Core.
• Experience working with Entity Framework Core, knowledge of SQL, and experience working with MS SQL Server and PostgreSQL.
• Experience working with Kafka, RabbitMQ, and Redis.
• Experience working with Elasticsearch.
• Understanding and application of SOLID principles, as well as knowledge of basic algorithms and data structures.
• Ability to complete initiated tasks and take responsibility for the result. Strong desire and readiness to constantly learn and grow.

Blockchain Developer / Blockchain Architect Required

Project: E-SYSTEM — a multifunctional digital platform for electronic procurement and business integration.

Task: development and integration of blockchain technologies into the existing platform with the possibility of further international scaling.

Main Responsibilities

• Designing the blockchain architecture of the platform.
• Developing and implementing smart contracts.
• Ensuring immutability and verifiability of records on procurement procedures.
• Implementing mechanisms for protecting confidential commercial offers.
• Integrating blockchain with ASP.NET Core, PostgreSQL, and React.
• Developing mechanisms for authenticating documents and actions of participants.
• Optimizing transaction costs.
• Preparing technical documentation.

Requirements

• Practical experience in developing blockchain solutions for at least 3 years.
• Knowledge of Ethereum, Polygon, or Hyperledger Fabric.
• Experience working with Solidity and smart contracts.
• Understanding of cryptography and information security.
• Experience integrating blockchain solutions with corporate systems.
• Completed projects.

Work format: project-based employment with the possibility of long-term cooperation.

At the first stage: auditing the existing architecture of E-SYSTEM, preparing a technical solution, estimating costs and implementation timelines.

- Experience as an office manager, assistant to a manager, or administrator for 1–3 years;

- Confident use of a PC and office programs (MS Office, Google Workspace);

- Literate oral and written speech;

- High level of self-organization, attention to detail, proactivity, and developed time management skills.

Mandatory requirements:

• Experience in business, product, customer or related analytics for at least 3 years.
• Proficient in SQL and skills in data analysis using queries of varying complexity.
• Practical experience working with Apache Spark and large volumes of data.
• Knowledge of mathematical statistics, probability theory and combinatorics, and the ability to apply relevant methods in solving analytical problems.
• Understanding of the principles of metric design, sample formation, experimentation, and evaluation of results.
• Experience working with data warehouses (DWH) and large datasets.
• Ability to independently conduct analytical research: from formulating business questions and developing hypotheses to interpreting results and preparing conclusions.
• Ability to choose approaches to solving ambiguous tasks, including in the absence of complete requirement formalization.
• Skills in presenting analytical results and justifying recommendations to non-technical managers and colleagues.

Will be a plus:

• Experience in the telecommunications industry.
• Experience in Customer Experience (CX), Customer Analytics or Product Analytics.
• Practical skills in using Python for data analysis and automation of analytical processes.
• Experience in developing analytical models and applying predictive analytics methods.
• Experience with Power BI and preparing analytical reports and visualizations.
• Familiarity with Agile/Scrum methodologies and the Jira tool.