Agentic AI Application Engineer （27graduates）
Tasks
- Build multi-agent workflows
- Design APIs and microservices
- Design agentic AI applications
- Develop backend services and pipelines
- Develop prompt engineering strategies
- Ensure model governance observability security
- Evaluate and adopt new AI technologies
- Implement database querying logic
- Integrate vector databases for RAG
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AI Ops | AWS | Azure | Docker | Faiss | GraphQL | Hybrid search | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Microservices | Milvus | NoSQL | Pinecone | Prompt engineering | Python | RAG | REST APIs | SQL | Semantic Search | Vector Databases | Vector embeddings
Education
N/A
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