Engineer III, Backed Gen AI
Tasks
- Build RAG systems
- Collaborate with Data Scientists to productionize models
- Create conversational interfaces
- Design and develop AI APIs
- Design evaluation frameworks
- Develop end-to-end GenAI features
- Evaluate new GenAI models and techniques
- Implement agentic workflows
- Implement monitoring logging observability
- Implement prompt engineering
- Integrate and optimize LLMs
- Optimize model inference pipelines
- Participate in code reviews and design discussions
- Write unit tests integration tests prompt regression suites
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Cloud infrastructure | Docker | Embedding Models | Haystack | Integration Testing | Kubernetes | Langchain | Langsmith | Language Models | Language Processing | Large Language Models | Llamaindex | MLflow | Microservices | Model Serving | Natural Language | Natural Language Processing | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | RAG | REST API | Ray | React | Recommender Systems | Retrieval-Augmented Generation | Series analysis | TensorFlow | TensorRT | Time Series | Time Series Analysis | Transformers | TypeScript | Unit Testing | VLLM | Vector Databases | Weaviate | Weights & Biases
Education
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