At least 3 years of experience as a System Analyst / Business Analyst. Strong command of SQL. Practical experience working with relational databases. Understanding the principles of building Data Lake, DWH, and data flows. Experience working with ETL/ELT processes. Experience describing integrations (REST API, SFTP; experience working with Kafka will be an advantage). The ability to analyze database schemas and design data models. Experience working with Data Engineering and AI/ML teams. It will be an advantage: Experience working with StarRocks, PostgreSQL. Understanding the architecture of modern AI solutions and LLM. Experience participating in projects to build a Data Lake, corporate data warehouses, or analytical platforms.

- 3+ years of experience in ML/CV/NLP/RAG, preferably in projects with video/audio analysis;

- Deep understanding of computer vision, audio processing and multimodal data;

- Experience working with PyTorch/TensorFlow;

- Experience in the development and implementation of CNN, RNN, Transformer, Vision/Audio Transformers, multimodal fusion;

- Practical knowledge on data preparation, augmentation, feature extraction (landmarks, spectrograms, embeddings);

- Experience working with RAG architecture or LLM to interpret the results of ML models;

- Experience in integrating ML models via API with external systems;

- Experience working with ML, MLOps, Docker pipelines.

red_mad_robot is a technology company with expertise in launching digital products and new businesses. Includes red_mad_robot AI— an AI solutions research and development center. We are looking for a backend developer on Go.

From you:

• At least 3 years of backend development experience on Go;

• Understanding the principles of LLM operation: context window, tokenization, temperature, model limitations;

• Experience writing AI agents: call chains, tool use/ function calling, agent status management;

• Understanding and applying the MCP (Model Context Protocol) to integrate tools and data sources;

• Experience building RAG pipelines: vector databases, embeddings, retrieval strategies, context ranking;

• Prompt engineering at the application level;

• Integration of LLM providers (Anthropic, OpenAI, local models) into the product code;

• The use of AI agents and assistants in daily development (Claude Code, Cursor and analogues).

That would be a plus:

• Financial-grade API (FAPI), open banking, mTLS, PKI, JWS signatures, idempotence, consent flow;

• Experience designing public/internal SDKs and libraries;

• Familiarization with data residency and compliance requirements (UAE/GCC).

General requirements:

• Citizens of Kazakhstan and permanent residents who are eligible to work in this country

• Final year university students, graduates and specialists changing careers

• Individuals aged 18 years and older

Skills requirements:

• English level from B2 (Upper-Intermediate) and higher

• IT or economic / logistic / accounting experience and/or education

• Basic knowledge of databases and SQL

• Good oral and written communication skills.

• Ability to conduct business correspondence and negotiations with clients.

• Experience in sales, customer service or customer support will be an advantage.

• Confident ownership of CRM systems (Bitrix24, amoCRM or their analogues).

• Responsibility, attention to detail and result orientation.

• Skills in working with modern digital tools and artificial intelligence are welcome.

• At least 5+ years of commercial Python development experience

• Strong knowledge of frameworks: Django / FastAPI / Flask

• Experience working with SQL and relational databases (PostgreSQL/MySQL)

• Understanding the principles of OOP, SOLID, Clean Architecture

• Experience with message queues (RabbitMQ, Kafka)

• Experience in containerization (Docker) and orchestration (Kubernetes)

• Skills of working with version control systems (Git)

• Understanding CI/CD processes

• Experience working with cloud platforms (AWS/ GCP / Azure)

• Ability to design high-load systems

It will be a plus:

• Experience working with microservice architecture

• Knowledge of asynchronous Python (asyncio, Celery)

• Experience working with AI/ML services

• The desire to learn and develop in the field of DevOps
• Basic knowledge of Linux operating systems (RHEL, Debian, Ubuntu)
• Interest in virtualization (KVM, VMware, Hyper-V, ProxMox)
• Knowledge of containerization technologies (Docker, Kubernetes, Openshift) is desirable
• Understanding the basics of network infrastructure (DNS, Routing, VLAN, VPN)
• Basic knowledge of DBMS (MS SQL, MySQL, PostgreSQL)
• Interest in working with Redis and RabbitMQ
• It is advisable to get acquainted with monitoring tools (Zabbix, Grafana, Prometheus, LOKI, GrayLog)
• The desire to study process automation (Ansible, bash, python)
• Knowledge of GIT (BitBucket, GitLab) will be an advantage

• At least 3 years of commercial Python development experience.
• Strong knowledge of Python.
• RabbitMQ;
• Practical experience with:FastAPI;Flask;Redis;Docker;SQL;Git.FastAPI;Flask;Redis;Docker;SQL;Git.
• Understanding the principles of REST API development.
• Experience working with Linux systems.

It will be an advantage

• Experience working with HTML, CSS, and JavaScript.
• Experience working with Red Hat Enterprise Linux.
• Understanding how web applications work on the client side.

— Confident programming in Python/Django

— Knowledge of JavaScript

— Experience working with GitHub

— Experience working with Claude

— Knowledge of English (required)  

It will be a plus: knowledge of 1C programming, proficiency in other programming languages, relevant work experience.

• Excellent knowledge of the 1C platform:Enterprise 8.3 and BSL languages.
• The experience of commercial development on 1C is from 3-5 years.
• Practical experience in developing and publishing HTTP services in 1C.
• Confident work with JSON, structured data processing and external exchanges.
• Experience integrating 1C with external systems via API and web services.
• Experience in finalizing standard configurations without removing them from support through the extension mechanism.
• Experience setting up event subscriptions and integration handlers.
• Understanding the principles of idempotence, query re-processing, and duplicate control.
• Experience publishing databases on IIS or Apache.
• Understanding basic security principles: HTTPS, SSL, tokenized authorization and differentiation of access rights.