Lead AI Engineer
Tasks
- Architect AI solutions for production systems
- Build and deploy intelligent automation using LLMs
- Collaborate with Product, Data Science, and Engineering teams
- Conduct code reviews and mentor peers on AI engineering
- Design backend infrastructure for end to end deployments
- Implement testing monitoring and evaluation for agents
- Integrate agentic frameworks into enterprise workflows
Perks/Benefits
- Extra vacation days
- Family-friendly benefits
- Hybrid work arrangement
- 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 | CatBoost | Cloud infrastructure | Context engineering | DPO | Databricks | Docker | Embedding | FastAPI | Fine Tuning | Flask | IPO | LLM-as-a-Judge | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | LightGBM | LoRA | Machine Learning | Model Context Protocol | NoSQL | Prompt engineering | Python | QLoRA | Query rewriting | Reranking | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | XGBoost
Education
Roles
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