Software Engineer - AI
Tasks
- Build conversational interfaces and agent workflows
- Collaborate with data scientists to productionize ML models
- Design and develop REST APIs for AI capabilities
- Develop end-to-end GenAI features
- Implement evaluation frameworks for GenAI features
- Implement monitoring logging and observability
- Implement prompt engineering and RAG
- Integrate LLMs for business planning use cases
- Optimize model inference pipelines
- Participate in code reviews and technical design discussions
- Stay current with GenAI research and tools
- Write unit tests integration tests and regression suites
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Cloud infrastructure | Docker | Embeddings | Experimentation Frameworks | Haystack | Integration Testing | Kubernetes | Langchain | Langsmith | Language Models | Language Processing | Large Language Models | Llamaindex | MLflow | Microservices | Model Serving | Natural Language | Natural Language Processing | Observability | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | RAG | REST APIs | Ray | Ray Serve | React | Recommender Systems | Retrieval-Augmented Generation | Series analysis | TensorFlow | Time Series | Time Series Analysis | Transformers | TypeScript | Unit Testing | Vector Databases | Weaviate
Education
Roles
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