Jobs

• Select and evaluate LLMs for production
• Build and maintain data pipelines
• Develop intelligent search systems
• Run product experiments and track metrics
• Contribute to product features and UX design

• 2+ years experience in AI/ML/DS
• Completed projects with LLMs (chatbots, semantic search)
• Experience integrating AI solutions into product systems
• Product thinking for assessing business value

📧 hrabr.foodtech@gmail.com
📱 @seasaann

• Ship/operate APIs & workers
• integrate foundation‑model APIs with guardrails
• build ETL for images/PDFs
• engineer for scale (queues, async, caching, idempotency)
• containerize, CI/CD, observability
• deploy on GCP or equivalent

• FastAPI/Flask
• async + Celery/Kafka/RabbitMQ
• strong data/SQL (PostgreSQL)
• cloud (GCP preferred; AWS/Azure OK)
• Docker
• CI/CD

• RAG (Pinecone/Weaviate/pgvector/Elastic)
• Computer Vision
• Node/TS
• LangGraph/LangChain/OpenAI Assistants

📧 jobs@eventum.ai

• Interact with business clients and developers to refine requirements
• Prepare functional and technical specifications
• Work with databases (PostgreSQL): write queries, analyze data models
• Design and test REST/GraphQL API
• Identify functional and technical constraints, decompose tasks
• Develop and coordinate interfaces

• 3+ years of experience as a system/business analyst
• SQL, PostgreSQL
• API work skills (Postman / Insomnia)
• Business process modeling experience (UML or similar approaches)
• Technical documentation writing and support experience
• Understanding of software development lifecycle and analyst role
• Experience with message brokers (RabbitMQ, Kafka)

📧 hr@partnerspay.kz
📱 @psy_urazbayeva

• Design and implement scalable AI architectures for intelligent search
• Optimize ML models for performance and accuracy
• Enhance ML infrastructure and tooling
• Collaborate with cross-functional teams for AI solutions delivery
• Stay current with AI/ML advancements
• Ensure code quality through reviews and testing

• 5+ years in developing and deploying ML models in production environment
• Strong understanding of ML principles, algorithms, and techniques
• Python and machine learning frameworks knowledge
• Experience with building and deploying scalable AI solutions on cloud platforms
• Experience with data processing frameworks such as Spark or Hadoop

📧 yarlykova@itspartner.net
📱 @m_yarlykova

• Develop and integrate solutions with LLMs for internal and client products
• Work on chatbots, assistants, recommendation systems
• Fine-tune models, manage large volumes of text/multimodal data
• Optimize queries, implement quality improvement strategies
• Integrate LLM into business processes, evaluate model performance
• Collaborate with Data Science and platform teams

• Python, ML/AI frameworks (PyTorch, TensorFlow, JAX)
• NLP, LLM architectures
• RAG frameworks
• Version control systems (Git)
• MLOps principles
• Information security basics for LLM usage

• SQL, PostgreSQL, ClickHouse, Spark, Flink
• Kubernetes (k8s) at a basic level

📧 polina@trafficstars.com
📱@pollid8