Senior AI Engineer
Tasks
- Analyze technical requirements and translate into agentic AI implementation tasks
- Deploy context driven production ready AI solutions
- Develop and integrate scalable agentic AI solutions
- Implement testing, monitoring, and evaluation pipelines
- Participate in code reviews and mentor engineers
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 | Database | Databricks | Docker | Drift monitoring | Evaluation | FastAPI | Fine Tuning | Flask | Human-in-the-loop | IPO | LLM | Langgraph | Langsmith | Language Models | Large Language Models | Latency benchmarking | LightGBM | LoRA | Machine Learning | Model Context Protocol | Model routing | Monitoring | NoSQL | Prompt engineering | Python | QLoRA | Query rewriting | Reranking | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | The Loop | XGBoost
Education
Roles
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