Jobs

• Develop and enhance AI agents for real-time call and chat monitoring
• Extract information from client knowledge bases
• Draft responses with human oversight

• 8+ years Python experience
• 6+ years production ML systems
• 3+ years AI agent development and RAG pipelines
• 2+ years Self-Supervised / Weakly-Supervised Learning
• 1+ year multimodal (voice, text, images)pipelines experience
• 3+ years with ADK or similar
• English B2+ level

📧 tatiana@onclarity.com
📱 @Tany_Jobs

• Develop and maintain Python backends for SaaS products
• Build AI inference pipelines
• Integrate computer vision libraries
• Manage cloud infrastructure
• Optimize PostgreSQL schemas
• Apply DevOps best practices

• 10+ years Python programming
• Computer vision (OpenCV, SciPy)
• Deep learning (PyTorch, JAX, TensorFlow)
• Cloud systems (AWS, Google Cloud)
• DevOps practices (CI/CD, Docker, Kubernetes)
• SQL and PostgreSQL

• MLOps tooling (MLflow, Weights & Biases)
• Data engineering background
• Contributions to open-source projects
• Master's degree or equivalent

📧 ykolmakova@midnight-ai.dev

• Research user interactions with the portal
• Establish prioritization system
• Manage backlog and roadmap
• Define business requirements and user flows
• Implement product metrics
• Coordinate between teams

• 3+ years in product management (Middle) / 5+ years (Senior)
• Experience with internal users (B2E)
• Prioritization and stakeholder communication skills
• Product analytics experience
• Practical knowledge of backlog and roadmap management
• Ability to navigate complex systems

• Experience with corporate portals
• Retail or FMCG experience
• Understanding of integrations

📧 i.boltabaev@small.kz
📱 @annantak

• Integrate security checks into CI/CD (SAST, SCA, image scanning)
• Ensure container and base image security
• Manage secrets using Vault and eliminate static secrets
• Implement SSDLC practices across projects
• Configure Kubernetes security (RBAC, admission policies)
• Build SBOM for services and control dependencies
• Define blocking/non-blocking security checks with InfoSec
• Prepare documentation for secure CI/CD processes

• 3+ years in DevOps / DevSecOps
• GitLab CI/CD
• SAST / SCA tools
• Docker and Kubernetes
• SSDLC principles
• Vault or similar tools
• Infrastructure and network security
• Confident Linux skills

• OPA / Kyverno (admission controllers)
• Container signing (cosign)
• SBOM tools (e.g. Syft)
• securing production Kubernetes
• Participation in SOC2 / ISO 27001 initiatives

📧 d.tatamirov@small.kz
📱 @dt_ITHR

• Design and build multi-agent systems
• Integrate LLMs with internal tools and services
• Develop backend services and APIs for agent workflows
• Implement RAG pipelines and tool/function calling
• Build CLI-based agent workflows and automation tools

• Node.js ecosystem (Express.js)
• Python
• Experience with LLM APIs and prompt engineering
• Experience with RAG, tool calling, or agent frameworks
• Familiarity with Docker, Linux, and Git

• CV, NLP, ML experience
• Open-source LLM deployment or inference optimization

kuanysh.bakytuly@revolve.com
@rifler01

• Design and build an LLM-based chatbot
• Deploy and maintain AI systems
• Select and integrate foundation models
• Develop RAG pipelines
• Build APIs for chatbot integration
• Optimize model inference and response quality

• 4+ years in AI/ML systems
• Strong Python and ML stack (PyTorch/Transformers)
• Experience with LLMs and NLP
• Understanding of RAG architectures and vector databases
• Experience building production services and APIs
• Familiarity with Docker and cloud infrastructure

• Experience with open-source LLMs
• Experience with LangChain or similar frameworks
• GPU inference optimization
• Experience designing ML/AI platforms
• Experience leading technical projects

📧 syzdykov.dsn@telecom.kz
📱 @dsyzdykov

• Fine-tune & optimize Audio models
• Full pipeline: dataset to deployment
• Model serving & inference optimization
• Monitoring metrics & performance
• Collaboration with team & PM

• 3+ years in ML/DSP
• Speech-to-Text / Text-to-Speech
• Deep Learning for Audio
• End-to-end training pipeline
• Model optimization & quantization
• Python, PyTorch, Git, AWS

• Hugging Face (Transformers, Datasets)
• Quantization (bitsandbytes/AutoGPTQ)
• CUDA 12.x
• FastAPI
• Docker/K8s
• vector DBs (FAISS/Milvus)

📱 @idigorice

• Build production-grade AI services
• Design scalable GenAI architectures
• Implement RAG pipelines
• Develop multi-agent systems
• Ensure observability and CI/CD
• Maintain high code quality and documentation

• Strong Python and TypeScript experience
• Shipping AI/ML systems to production
• RAG experience (vector DB, embeddings)
• LangChain / LangGraph
• Git (PR-based workflow)
• Strong software engineering practices

• Fine-tuning open-source LLMs (LoRA / QLoRA)
• Inference optimization
• Docker / Kubernetes
• LLM evaluation frameworks
• Golang
• Building AI platforms or AI infrastructure

Adilet.Mukhitov@bsbnb.kz