Senior Gen AI/Agentic AI Full stack
Tasks
- Apply agile development practices
- Build REST APIs for AI services
- Build agentic ai applications with frameworks
- Build vector database based retrieval systems
- Collaborate with data engineers and stakeholders
- Create web ui applications
- Deploy machine learning models to production
- Design machine learning solutions
- Develop advanced rag solutions with large language models
- Evaluate LLM and RAG performance
- Implement CI/CD pipelines
- Implement end-to-end Generative AI solutions
- Ingest and process unstructured data
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | Agentic AI | Autogen | Azure | Azure AI | Azure AI Search | Bedrock | CI/CD | Computer Vision | CosmosDB | Crew AI | Data Visualization | Deep learning | DeepEval | DevOps | Django | DynamoDB | FMeval | Faiss | FastAPI | Fine Tuning | Flask | GCP | Generative AI | GitHub Actions | Hive | Jenkins | Jira | LLM Fine-tuning | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | MongoDB | NoSQL | Pinecone | PostgreSQL | PyTorch | Python | REST APIs | Ragas | Retrieval-Augmented Generation | SQL | Scikit-learn | Series analysis | Tableau | TensorFlow | Terraform | Time Series | Time Series Analysis | Vector Databases | Weaviate
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