Career at shai.pro — where ideas become products
We bring together engineers, product managers, researchers, designers, and industry experts to create real solutions that work in business today.
What’s important to us
Result-orientation
speed, quality, and tangible impact matter to us
Engineering depth
we value those who think systematically and can bring ideas to production.
Product thinking
every project is built around value for the user.
Openness and trust
transparent processes, direct communication, and teamwork.
Growth and responsibility
everyone takes ownership of their part and the overall success.
What you’ll gain with us
Work on real AI products implemented in banks, industry, retail, and the public sector.
Opportunity to influence the architecture, decisions, and direction of products.
Rapid professional growth: expertise, mentorship, and involvement in R&D.
An environment of people who think big and act fast.
Flexibility, dynamism, and no bureaucracy.
Open positions/vacancies
Senior GenAI Engineer
AI & GenAI Engineering
Astana, Kazakhstan
OfflineTasks
- Design and development of production systems based on LLMs (RAG, tool calling, agent workflows)
- Implementation of retrieval pipelines (embeddings, vector databases, hybrid search, reranking)
- Integration of AI agents into backend systems (REST APIs, CRM, ERP, etc.)
- Optimization of latency, response quality, and inference costs
- Development and maintenance of backend services (Python, FastAPI)
- Working with databases (PostgreSQL, Redis, vector databases)
- Implementation of basic MLOps practices (logging, monitoring, model versioning)
- Conducting code reviews and participating in engineering discussions
Requirements
- 5–7+ years of experience in backend / ML / AI
- Strong proficiency in Python (async programming, API design, clean architecture)
- Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models)
- Experience building RAG systems
- Understanding of embeddings and vector search
- Experience with PyTorch / Hugging Face
- Experience with Docker and cloud deployment
- Understanding of scalable system design principles
Optional
- Experience developing multi-agent systems
- Experience with fine-tuning (LoRA, adapters)
- Experience working with LangChain / LlamaIndex
- Experience optimizing inference costs
- Understanding of AI security and governance