Top 10 Companies Hiring AI Engineers in Kazakhstan in 2026

Table of Contents

• Charting Kazakhstan's AI Frontier
• Kaspi.kz
• Halyk Bank
• Beeline Kazakhstan
• EPAM Systems
• Kazakhtelecom
• KazMunayGas
• Tengizchevroil
• Air Astana
• Kcell
• Accenture
• Navigating Your AI Career Path
• Frequently Asked Questions

Kaspi.kz

As Kazakhstan's definitive digital ecosystem, Kaspi.kz is less a company and more a national platform, serving over 13 million users and processing millions of daily transactions. For an AI engineer, it represents the zenith of applied machine learning at a scale that impacts daily life for most of the country, where work moves from pilot to production faster than anywhere else in the region.

The stack is built for real-time, high-volume inference: Python, Scala, Apache Spark, and PyTorch, orchestrated through sophisticated Kubernetes-based MLOps pipelines. Engineers integrate models into systems that define regional standards, such as the industry-leading real-time credit scoring engine, hyper-personalized recommendations for Kaspi Market, and advanced fraud detection networks. You'll work in integrated "Two-Pizza" product squads, where a typical week involves A/B testing a new feature for the "buy now, pay later" service or optimizing a model's latency for peak shopping hours.

Salaries here are the benchmark for the nation. A Junior AI Engineer can expect 600,000 - 900,000 KZT monthly, with Senior engineers commanding 2.2 to 3.5 million KZT or more. The intense interview process, known for rigorous SQL and algorithm rounds followed by a system design case, is designed to find engineers who think in systems, not just models. You'll thrive if you are obsessed with impact and enjoy seeing your work used by millions in real-time.

Halyk Bank

As the largest traditional bank undergoing a rapid "ecosystem" transformation, Halyk Bank represents the massive opportunity of modernizing legacy infrastructure with AI. This is where you work with some of the most diverse and historically rich datasets in the country, spanning decades of retail banking, government-linked services, and the growing Halyk Market digital marketplace.

The tech stack reflects this journey: Python, TensorFlow, and classic big data tools like Hadoop, increasingly integrated into modern Airflow and MLOps pipelines. Core AI projects are foundational to banking, including large-scale NLP for customer service virtual assistants, predictive churn modeling for high-net-worth clients, and sophisticated credit risk assessment models for SMEs. The challenge and reward lie in extracting modern insights from complex, historical data sources.

You'll likely be part of a large, centralized Data Science department, collaborating constantly with business analysts and risk officers. Salaries are strong and competitive, slightly below Kaspi but with the stability of a national champion. Junior roles start around 500,000 - 750,000 KZT, with Senior positions reaching 2 to 2.8 million KZT. The interview process is more corporate and structured, with a heavy emphasis on statistics and probability theory, as reflected in shared candidate experiences.

You'll thrive at Halyk if you are fascinated by the complexities of finance, enjoy the challenge of bringing cutting-edge AI to a traditional industry, and want your work to have a stabilizing effect on a pillar of the national economy. Career growth can lead to becoming a domain expert in financial risk AI or leading data strategy for a major business vertical.

Beeline Kazakhstan

Beeline has successfully pivoted from a pure telecom operator to a digital services company, with its "Beeline Data" unit at the heart of this transformation. This is the place for engineers interested in telecom-scale data, geospatial analytics, and pioneering work in Kazakh-language AI, often developed in collaboration with researchers from Nazarbayev University.

The stack is modern and product-oriented: Python with FastAPI and PyTorch, ClickHouse for real-time analytics, and containerized deployments. Projects leverage unique telecom assets like geodata analytics for retail store planning, AI-driven network traffic optimization, and groundbreaking Automatic Speech Recognition (ASR) models for the Kazakh language. You'll work in a mature, tech-first team within a collaborative, agile culture.

Salaries are highly competitive within the telecom sector. Junior engineers earn 550,000 - 800,000 KZT, Mid-level 1.1 to 1.7 million KZT, and Senior professionals can make 2.1 to 3.2 million KZT. Career growth offers paths into leading innovative projects like Smart City partnerships or advancing to architect roles within the wider VEON group's global AI frameworks.

The interview process often includes collaborative rounds with team leads and a practical coding challenge. You'll thrive at Beeline if you're excited by the intersection of massive-scale data infrastructure and consumer-facing products, and if contributing to national-level digital public goods motivates you. Insights into their hiring approach can be found in candidate-shared interview experiences.

EPAM Systems

EPAM is your gateway to global AI innovation without leaving Almaty or Astana. As a premier global software engineering firm consistently ranked as a Glassdoor Best Place to Work, it offers Kazakhstani engineers a chance to work on frontier technologies for Fortune 500 clients across North America and Western Europe, applying international MLOps standards to diverse industries.

The tech stack is agnostic and cutting-edge, shaped by client needs: full-spectrum use of AWS, Azure, and GCP AI services, cloud platforms like Snowflake and Databricks, and the latest open-source frameworks. Projects are incredibly varied, from building MLOps platforms for European retail giants and implementing generative AI solutions to developing computer vision systems for autonomous manufacturing, all adhering to global development standards.

You operate in a matrix structure, reporting to a local manager while embedded in a global project team. Daily stand-ups might be with colleagues in Poland and product owners in New York, requiring strong English proficiency and the ability to understand complex business domains quickly. It's a constant learning environment with high professional standards.

EPAM offers some of the most attractive financial packages, often pegged to USD/EUR. Junior salaries range from 650,000 - 950,000 KZT, Mid-level from 1.3 to 2 million KZT, and Senior engineers can earn 2.5 to 4 million KZT or more. You'll thrive here if you crave variety, want your skills benchmarked against global peers, and desire the stability of a large, respected international firm.

Kazakhtelecom

As the national telecommunications operator, Kazakhtelecom is the backbone of Kazakhstan's digital infrastructure. For AI engineers, this means working on large-scale, infrastructure-level projects that have direct ties to state programs like "Digital Kazakhstan" and "Smart City" initiatives, with work of strategic national importance.

The stack is geared towards processing high-volume, unstructured data: Python and Java, Spark for big data processing, and custom GPU clusters dedicated to video analytics. Core AI projects include city-wide video surveillance analytics for public safety, predictive maintenance models for the vast fiber-optic network, and AI-driven forecasting for network capacity planning, potentially leveraging new national computational resources.

The environment blends corporate structure with mission-driven tech work, involving collaboration with network engineers and government IT specialists. Projects are long-term and high-impact, such as tuning computer vision models across thousands of street cameras in Astana.

Salaries are solid within the state-linked corporate sector. Junior engineers start at 450,000 - 650,000 KZT, Mid-level roles offer 900,000 to 1.4 million KZT, and Senior positions reach 1.8 to 2.5 million KZT. You'll thrive at Kazakhtelecom if you are motivated by public service and national development, enjoy working on massive, tangible infrastructure projects, and want to see your AI work deployed at a city or national scale.

KazMunayGas

Kazakhstan's national oil and gas giant, KazMunayGas (KMG), is driving its "Digital Oilfield" initiative, applying AI to optimize the nation's primary economic engine. This is the specialized domain of industrial AI, where models must be robust, interpretable, and capable of generating immense value from sensor data and complex physical processes, a sector highlighted in global industrial AI market analyses.

The stack is tailored for scientific and time-series data: Python, R, MATLAB, and hybrid cloud environments integrated with on-premise high-performance computing. Key projects include predictive maintenance for refinery equipment to prevent costly shutdowns, AI-assisted interpretation of geological seismic data for exploration, and sophisticated supply chain optimization models for logistics across vast distances.

Your work involves close collaboration with domain experts - petroleum engineers, geologists, and operations managers - with a significant focus on translating physical phenomena into clean, model-ready data. Success is measured in millions of dollars saved through increased extraction efficiency or reduced downtime within a professional, safety-focused culture.

The compensation reflects the strategic nature of the industry. Junior engineers earn 500,000 - 700,000 KZT, Mid-level 1.1 to 1.5 million KZT, and Senior roles command 2 to 3 million KZT or more, often supplemented with significant performance bonuses. The interview process uniquely combines technical tests with domain-specific case studies (e.g., modeling pressure drops in a pipeline). You'll thrive here if you have a strong foundation in mathematics and physics and want your work to directly contribute to Kazakhstan's resource-driven economy.

Tengizchevroil

This multinational joint venture, led by Chevron, represents the pinnacle of industrial AI application in Kazakhstan, with standards, safety protocols, and compensation aligned with global energy majors. It's a unique environment that combines international corporate culture with the technical challenges of one of the world's largest oil fields.

Engineers work with Chevron's global technology standards, which include Python, Databricks, and Azure Machine Learning, deployed within an exceptionally rigorous MLOps and data governance framework. Projects operate at the frontier of operational technology: real-time AI for drilling optimization, computer vision systems to ensure 100% compliance with safety gear in hazardous areas, and complex physics-informed AI models for reservoir simulation.

The work is intensely collaborative with global teams, often requiring alignment with experts in Houston or Singapore, with a paramount focus on safety and operational integrity. Salaries are the highest in the industrial sector, though roles often require relocation to Atyrau. Mid-level engineers can earn 1.5 to 2.2 million KZT, with Senior roles reaching 2.8 to 4.5 million KZT or more.

The multi-stage interview process involves specialized technical interviews and behavioral interviews using the STAR method with global subject matter experts. You'll thrive at TCO if you excel in a structured, high-stakes, globally integrated environment and are passionate about applying world-class AI to solve some of the most difficult engineering problems on the planet.

Air Astana

The national carrier, Air Astana, offers a unique niche in applied AI: high-stakes logistics and dynamic customer engagement in the aviation industry. The models built here directly influence revenue, operational efficiency, and the experience of millions of passengers flying across Central Asia and beyond.

The stack is practical and business-intelligence aligned, leveraging Python, SQL, and cloud AI services like AWS SageMaker for flexibility. Core AI projects revolve around pivotal business functions: dynamic pricing engines that adjust ticket fares in real-time, predictive models for flight delays and cancellations, and personalized marketing AI for Nomad Club loyalty program members.

You'll sit at the intersection of commercial, operational, and IT teams, integrating real-time data streams - weather, competitor fares, booking trends - into live models. The impact is highly visible, affecting flight schedules, company profitability, and customer satisfaction directly. Compensation is competitive within the transportation sector, with Mid-level AI engineers earning 1 to 1.5 million KZT and Senior roles ranging from 1.8 to 2.8 million KZT, complemented by valuable flight benefits.

The interview process focuses on analytical case studies and logical reasoning, testing your ability to derive business insight from data. You'll thrive at Air Astana if you love the tangible, fast-paced world of travel and logistics and enjoy building models that directly optimize complex, real-world systems from pricing to flight paths.

Kcell

As a major mobile operator, Kcell focuses on customer-centric AI to drive growth and retention in a competitive market. The environment is known for being more agile than typical large corporates, allowing AI teams to iterate quickly on models that directly affect marketing, sales, and customer service outcomes.

The stack is built for reliability and speed on large customer datasets: Python, the Hadoop ecosystem, and powerful libraries like Scikit-learn and XGBoost. Projects are tightly linked to commercial goals, such as building real-time engines to offer data or content upsells the moment a customer uses a service, predictive churn modeling to target retention campaigns, and developing chatbots for automated technical support.

The rhythm is fast, with frequent campaign cycles requiring quick model updates and A/B testing. Collaboration with the marketing and customer experience departments is continuous, and much of the work involves sophisticated feature engineering from telecom data - call patterns, data usage, top-up behaviors - to predict customer intent. Salaries are competitive within the telecom sector, generally positioned slightly below other leaders but often accompanied by strong social benefits packages, aligning with broader Almaty market ranges.

You'll thrive at Kcell if you enjoy a corporate setting with a startup-like pace, are commercially minded, and get satisfaction from seeing your models directly increase sales or improve customer satisfaction scores. The practical interview process emphasizes hands-on SQL and Python skills, particularly around data wrangling and feature engineering.

Accenture

Accenture represents the strategic layer of AI adoption in Kazakhstan. Rather than building a single product, engineers here design and implement AI strategies and solutions for the country's largest tier-1 firms across banking, resources, and government, offering a bird's-eye view of transformation across the entire economy. Their formal entry into the market, noted by industry reports, cemented this role.

The tech stack is entirely client-driven and agnostic. One month you might be implementing an SAP AI solution for a mining company, the next building a custom document intelligence pipeline for a government agency using open-source Python, or designing a Microsoft Azure AI strategy for a bank. Your work blends high-level consulting with hands-on building, involving client workshops, solution design, and technical leadership of mixed teams.

Salaries reflect the premium on strategic and client-facing skills, positioning Accenture as a top engineering employer. Mid-level consultants earn 1.2 to 1.8 million KZT, with Senior roles reaching 2.5 to 3.8 million KZT. The interview process uniquely blends case interviews testing business-technology crossover thinking with deep technical verification.

You'll thrive at Accenture if you are equally comfortable discussing board-level strategy and debugging a TensorFlow graph, enjoy variety and high-stakes projects, and desire a career path that can lead to deep industry specialization or progression towards managing major client engagements.

Navigating Your AI Career Path

The landscape of AI in Kazakhstan is no longer a simple skyline but a dynamic terrain of super-app ecosystems, modernizing national champions, global outposts, and industrial giants. The real journey begins when you transition from passively following a list to actively navigating your path based on the unique problems you want to solve.

Will you steer toward the unparalleled product impact and data scale of a Kaspi, where models affect millions in real-time? Or toward the mission-driven, infrastructural work of a Kazakhtelecom, integral to the Digital Kazakhstan program? Perhaps your compass points to the global frontier accessed from an Almaty office at EPAM or Accenture.

Your decision is empowered by Kazakhstan's unique ecosystem. Working from tech hubs like Astana Hub or Almaty's IT clusters offers favourable tax incentives for residents. You are at the heart of a growing AI startup scene and in close proximity to the major employers shaping this list. As the nation embraces its Year of Digitalization and AI, your role as an engineer is to be an active builder of that future.

Use this map not as a GPS with a single route, but as a tool to ask the right questions. Chart a course that doesn't just lead to a job, but to a career that builds the future of Kazakhstan itself.

Frequently Asked Questions