Design, build, and optimize AI/GenAI products powering enterprise solutions.
Own features, shape architecture, mentor engineers, ensure production readiness.
Lead technical discussions and elevate engineering quality.
Architect AI systems; deploy models; optimize services impacting revenue.
Ensure reliability and service health at scale.

🎯 Requirements

Python, FastAPI, PyTest, Celery; modern design patterns.
Lead technical decisions; code quality, reviews, and docs.
End-to-end AI/GenAI lifecycle: data prep, training, deployment.
GenAI frameworks LangChain/LangGraph; MLOps practices.
Docker, Kubernetes, and GCP tools: VertexAI, BigQuery, GKE.
SQL/NoSQL experience: MongoDB, MSSQL, PostgreSQL.

🎁 Benefits

Hybrid work in Sofia with a global, collaborative team.
Opportunities to mentor, lead, and grow in AI/GenAI.
Strong emphasis on learning and development.

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