GenAI Engineer
Tasks
- Build conversational interfaces
- Build production-ready AI features
- Collaborate with Data Scientists to productionize models
- Create model monitoring and logging
- Design and develop AI APIs
- Develop agentic workflows
- Develop backend API services
- Evaluate new AI models and techniques
- Implement evaluation frameworks
- Implement prompt engineering
- Implement retrieval-augmented generation
- Integrate large language models
- Optimize model inference pipelines
- Participate in code reviews and technical design discussions
- Write unit tests integration tests and prompt regression suites
Perks/Benefits
- Agile working environment
- Charity events and programs
- Flexible working hours
- Referral program
- Remote or hybrid work
- Training resources
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Cloud infrastructure | Containerization | Deep learning | Docker | Embeddings | Integration Testing | Kubernetes | Language Models | Language Processing | Large Language Models | Logging | Machine Learning | Microservices | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | TensorFlow | Transformers | Unit Testing | Vector Databases
Education
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