Senior AI/ML Engineer
Tasks
- Build multi-agent workflows
- Design modular reusable AI components
- Design scalable APIs and backend services
- Develop production LLM applications
- Establish AI security and responsible AI practices
- Evaluate technical trade-offs
- Implement retrieval-augmented generation
- Integrate vector databases
- Lead AI platform architecture
- Provide technical leadership
- Troubleshoot platform reliability and performance
Perks/Benefits
- Contract engagement
- Fully remote work model
- International technology focused environment
- Technical leadership impact
Skills/Tech-stack
AI Governance | AI Security | Agent systems | Agent workflows | Agentic AI | Claude API | Enterprise AI | Enterprise AI governance | FastAPI | LLM Applications | Langchain | Langgraph | Language Models | Large Language Models | MCP | Multi-Agent | Multi-Agent Systems | Multi-agent workflows | Prompt engineering | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Vector Database
Education
N/A
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