Lead AI Engineer
Tasks
- Architect and deploy production AI solutions
- Build and deploy agentic AI systems
- Collaborate with product and engineering to define AI requirements
- Implement testing, monitoring, and evaluation pipelines
- Integrate AI into backend infrastructure
- Perform code reviews and mentor peers
Perks/Benefits
- Extra days of vacation
- Family-friendly benefits
- Meal contribution
- Premium medical services
- Sickness compensation plan
- Wellness and leisure time contribution
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Caching | CatBoost | Cloud infrastructure | Context engineering | DPO | Databricks | Docker | Drift monitoring | FastAPI | Fine Tuning | Flask | IPO | Langgraph | Langsmith | Language Models | Large Language Models | Latency benchmarking | LightGBM | LoRA | Machine Learning | Model Context Protocol | Model routing | NoSQL | Prompt engineering | Python | QLoRA | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | Token optimization | XGBoost
Education
Roles
Regions
Countries
States
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