Lead Data/AI Engineer
Tasks
- Apply software engineering best practices
- Architect context rich AI solutions
- Build conversational and agent workflows
- Define data models and data pipelines
- Design optimize and evaluate LLM prompts
- Develop backend services and APIs
- Ensure data quality and integrity
- Evaluate cloud and on premise deployment technologies
- Implement context management strategies
- Implement testing, monitoring, and evaluation pipelines
- Integrate fine tune and orchestrate LLMs in Python
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 | API Development | B testing | CI/CD | CatBoost | DPO | Databricks | Docker | FastAPI | Flask | GraphQL | IPO | Java | Kafka | LLM-as-a-Judge | Langgraph | Language Models | Large Language Models | LightGBM | LoRA | Machine Learning | Microservices | Model Evaluation | Model Monitoring | Prompt engineering | Python | QLoRA | RAG | REST | Retrieval-Augmented Generation | SQL | Scala | Scikit-learn | Session memory | Snowflake | Spark | Vector Search | XGBoost
Education
Roles
AI Engineer | Data Engineer | Engineer | Lead | Lead AI Engineer | Lead Data | Lead Data Engineer | Software Engineer
Regions
Countries
States
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