ML Tech Lead

Join a Barcelona-based iGaming company as an ML Tech Lead, focusing on AI solutions and architecture in a remote role. Lead technical discussions and mentor engineers while developing innovative online slot games. Our client is a Barcelona-based iGaming company specializing in the development of online slot games for international markets. With a catalogue of 150+ titles and a steady release pace of 3–4 new games per month, they combine creative vision with strong technical expertise.

• •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.

• •Engage in a unique international web project, gaining valuable experience.
• •20 vacation days and 5 sick days yearly.
• •Flexible start to the workday.
• •Experience a dynamic work environment that avoids monotony.
• •Opportunities for professional growth and advancement.

• •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.