Senior GenAI Engineer
Tasks
- Build agentic workflows
- Build backend API services for AI features
- Build production ready GenAI features
- Collaborate with Data Scientists to deploy ML models
- Create evaluation frameworks for model quality
- Design conversational interfaces
- Develop prompt engineering solutions
- Implement RAG systems
- Implement model monitoring, logging, and observability
- Integrate LLMs into applications
- Optimize model inference pipelines
- Write unit tests integration tests and regression tests
Perks/Benefits
- Flexible working hours
- Health insurance
- Hybrid work
- Meal tickets
- Referral program
- Training and development opportunities
Skills/Tech-stack
CI/CD | Docker | Embeddings | Integration Testing | Kubernetes | Language Models | Language Processing | Large Language Models | Logging | Machine Learning | Microservices | Model Observability | Model Serving | Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | REST API | Retrieval-Augmented Generation | Series analysis | TensorFlow | Time Series | Time Series Analysis | Transformers | Unit Testing | Vector Databases
Education
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