Gen AI Developer Specialist
Tasks
- Build production AI agents
- Build vector search and reranking systems
- Create automated tests and evaluation suites
- Deploy and manage ML services on cloud
- Design end-to-end RAG pipelines
- Develop REST APIs for AI services
- Develop prompt engineering solutions
- Implement NLP models and pipelines
- Integrate large language models
- Manage code with version control
- Set up MLOps workflows for training and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AI Services | Anthropic | Azure AI | Azure AI Services | CI/CD | CrewAI | Docker | Embeddings | End to End | End-to-End Testing | Entity recognition | Experiment tracking | FastAPI | Few-Shot Learning | Few-shot | Flask | Function Calling | Git | GitHub | GitHub Actions | GitLab | Google | GraphQL | Hugging Face | Hugging Face Transformers | Integration Testing | Kubernetes | LLMs | Langchain | Langgraph | MLflow | Model Registry | Monitoring | NLP | Named Entity Recognition | OpenAI | Pinecone | PostgreSQL | Prompt engineering | PyTorch | Pytest | Python | RAG | REST | Redis | Retrieval-Augmented Generation | SQL Server | Scikit-learn | Semantic Search | Sentiment Analysis | Structured Output | Summarization | TensorFlow | Text Classification | Unit Testing | Vector Databases
Education
N/A
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