Jobs

• Brainstorm demo ideas
• Build rapid prototypes
• Harden to production
• Integrate LLMs end-to-end
• Provide feedback on model failures
• Collaborate with product/eng/solutions

• 5+ yrs SWE
• strong Python
• full-stack comfort
• ship production code
• end-to-end shipping
• solid LLM understanding

• Next.js
• Tailwind
• Kubernetes
• extraction/agents/screenshot→UI
• evals/guardrails

jobs@eventum.ai

• Design and develop production systems based on LLMs
• Implement retrieval pipelines and integrate AI agents
• Optimize latency and response quality
• Develop backend services (Python, FastAPI)
• Implement MLOps practices
• Conduct code reviews and participate in discussions

• 5–7+ years in backend / ML / AI
• Strong proficiency in Python (async, API design)
• Hands-on experience with LLM APIs (OpenAI, Anthropic)
• Experience building RAG systems
• Understanding of embeddings and vector search
• Experience with Docker and cloud deployment

• Experience developing multi-agent systems
• Experience with fine-tuning (LoRA, adapters)
• Experience working with LangChain / LlamaIndex
• Understanding of AI security and governance

recruitment@shai.pro

• 3+ years production ML/LLM experience
• Python; vLLM, LangChain, LangGraph or equivalent
• MLOps: serving, monitoring, cost optimisation
• Deployed agentic workflows, RAG or fine-tuned models at scale
• Builds with agents, orchestrates, reviews, iterates
• English fluency

📧 dan.kazi@p-99.ai (subject: Agentic)

• Decompose compliance rules into logic
• Build extraction pipelines (OCR, layout detection, LLM)
• Design RAG systems (embeddings, reranking)
• Implement check loops with scoring & review
• Build eval harnesses for document sets
• Select approach per task (LLM, rules, NER)

• Production LLM/ML applications
• OCR & document processing
• Vector search & embeddings
• Agentic workflows
• Prompt engineering
• Python or TypeScript

• Multilingual document processing
• Fine-tuning experience

📧 gassyr@pyramid-ai.com

• Analyze time series and identify statistical patterns

• Higher education in math, economics, computer science, or physics
• 1+ year of commercial experience in time series analysis

Maslovskaya@logic-way.com
@kattinas

• Development and training of neural network models for OCR and document understanding
• Building end-to-end ML pipelines: preprocessing, detection/segmentation, recognition
• Working with datasets: labeling, augmentations, synthetic data
• Integration of models into the product and support in production
• Optimizing model performance and GPU utilization

• Strong Python knowledge
• Experience with PyTorch and/or TensorFlow
• Experience with detection and segmentation models (YOLO, Detectron2 or similar)
• Skills in OpenCV
• Understanding of model optimization and GPU usage
• Knowledge of Computer Vision, CNN, Transformers, Attention

info@globerce.capital
@gwenstacy51

• Build and improve ML models for product and business tasks
• Work with large event data sets (hundreds of billions of events/month)
• Conduct EDA, formulate and test hypotheses
• Participate in A/B testing, feature selection, and model validation
• Develop predictive models for traffic optimization
• Create dashboards and monitoring tools for model metrics

• 3+ years in Data Science / Applied ML
• Strong statistics and hypothesis testing
• SQL proficiency (ClickHouse is a plus)
• Experience with big data (TB+)
• Python for ML (pandas, scikit-learn, XGBoost, LightGBM)
• Regression, classification, clustering experience
• BI tools (Grafana / Tableau / Power BI)

📧 polina@trafficstars.com
📱 @pollid8

• Develop e-commerce product from core flow to growth features
• Create roadmap based on data and business goals
• Implement metric systems and dashboards
• Prioritize features by impact/effort
• Analyze user behavior and funnels
• Launch and analyze A/B tests for UX improvement

• Product management in e-commerce/retail/marketplace
• Data-driven approach and analytics
• Understanding of e-commerce metrics
• Mobile development knowledge (iOS/Android)
• Agile/Scrum experience
• Ability to write clear requirements and user stories

• Experience in product retail or FMCG
• Experience with personalization and loyalty

📧 i.boltabaev@small.kz
📱 @annantak