Senior AI/ML Engineer
Tasks
- Architect AI research systems
- Build MCP tools
- Build RAG-architectures
- Connect vector databases
- Create multi agent communication pipelines
- Design LLM inference flows
- Develop agent workflows
- Implement graph reasoning layers
- Integrate LangChain
- Integrate LangGraph
- Maintain documentation testing security code quality
- Operationalize experiments
- Optimize embeddings pipelines
- Support system design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Artificial Intelligence | Distributed Systems | Embeddings | Graph Databases | LLM Inference | Langchain | Langgraph | Language Models | Large Language Models | MCP | Machine Learning | Neo4j | Next.js | Node.js | Python | RAG | React | Vector Databases
Education
N/A
Regions
Countries
States
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