ML Tech Lead

Talentgrator is a recruitment service that connects IT entertainment and iGaming industry businesses with professionals. We support the growth and development of the iGaming ecosystem through a personalized approach tailored to the unique needs of each business.

• 3+ years of commercial software development experience.
• Strong Python 3.10+ expertise.
• Hands-on experience with FastAPI, async programming, and type-safe development.
• Solid SQL and PostgreSQL knowledge, including schema design, indexing, window functions, and materialized views.
• Experience building integrations with third-party SaaS APIs, webhooks, and ETL pipelines.
• Practical Docker experience, including multi-stage builds and Docker Compose.
• Understanding of logging, monitoring, and production operations.
• Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar.
• Strong system design, architecture, and problem-solving skills.
• Proficiency in Russian/Ukrainian.

• Design and evolve LLM architectures, including RAG, multi-agent systems, tool-calling, and memory frameworks.
• Build and optimize semantic and hybrid search solutions using embeddings, pgvector, and reranking techniques.
• Develop pipelines for processing, validating, and structuring Game Design Documents (GDDs).
• Create prompt engineering strategies, evaluation frameworks, and AI guardrails.
• Integrate local and cloud-based LLMs through Ollama and OpenAI-compatible APIs.
• Design and maintain fault-tolerant, production-grade AI services.
• Contribute to the development of AI capabilities, including future automated TypeScript code generation.
• Lead technical discussions, architecture decisions, and code reviews.
• Define engineering standards, best practices, and quality benchmarks for AI development.
• Implement monitoring for model quality, latency, reliability, and infrastructure costs.
• Support and mentor engineers through technical guidance and knowledge sharing.