Senior AI/ML Engineer – Generative AI
Tasks
- Build production AI agents and multi agent systems
- Deploy monitor and optimize AI applications in production
- Design develop deploy enterprise generative AI solutions
- Develop data ingestion pipelines
- Develop prompt engineering and prompt management
- Evaluate AI application performance using A B testing
- Generate embeddings and implement vector indexing
- Implement retrieval-augmented generation pipelines
- Implement semantic search and retrieval
- Integrate large language models with enterprise applications
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI orchestration | API Integration | Agent systems | Agentic AI | B testing | ChromaDB | Data Ingestion | Embedding Generation | Embeddings | Faiss | Generative AI | Hallucination detection | Java | Language Models | Large Language Models | Milvus | Multi-Agent | Multi-Agent Systems | Performance Benchmarking | Pinecone | Prompt engineering | Prompt management | Python | RAG | REST APIs | Retrieval-Augmented Generation | Semantic Search | Vector Database | Vector Search | Weaviate
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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