AI Engineer - Acon - BLR
Tasks
- Build AI agent workflows
- Build backend APIs and services
- Build streamlit user interfaces
- Create data ingestion pipelines
- Deploy scalable llm applications
- Design generative AI solutions
- Develop custom frontend components
- Develop multimodal rag pipelines
- Evaluate LLM performance
- Fine-tune and customize foundation models
- Implement CI/CD pipelines
- Implement retrieval augmented generation systems
- Maintain vector databases and azure ai search
- Monitor and trace llm applications
- Orchestrate LLM workflows and agents
- Parse unstructured documents
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AI Studio | Agentic Workflows | Application Security | Arize Phoenix | Azure AI | Azure AI Search | Azure AI Studio | Azure Machine Learning | Azure OpenAI | CI/CD | Data Ingestion | Data Ingestion Pipelines | Data Privacy | Data Security | DeepEval | Docker | Embeddings | FastAPI | Fine Tuning | Guardrails | Ingestion pipelines | JavaScript | Kubernetes | LLM Observability | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | Machine Learning | Milvus | Multimodal AI | Pinecone | Prompt engineering | Python | Qdrant | RAG Pipelines | REST APIs | Ragas | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Streamlit | Tenant Isolation | Transformers | TruLens | Vector Databases | Vector Search
Roles
AI | AI Engineer | Engineer
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