Senior AI/ML Engineer
Tasks
- Architect agentic AI orchestration platform
- Build multi-agent workflows
- Create scalable APIs and backend services
- Define agentic AI architectures for scalability and security
- Design modular reusable AI components
- Develop LLM applications in production
- Establish AI security and responsible AI practices
- Evaluate technical trade-offs
- Implement retrieval-augmented generation solutions
- Integrate vector databases
- Provide technical leadership and mentor teams
- Troubleshoot platform reliability and performance
Perks/Benefits
- Contract engagement
- Fully remote work model
- Hands on exposure to Claude LangGraph LangChain RAG vector databases MCP multi agent systems
- International technology focused environment
- Opportunity to influence architectural decisions
- Opportunity to work on enterprise agentic AI platform
Skills/Tech-stack
AI Governance | AI Security | APIs | Agent systems | Agent workflows | Claude API | Enterprise AI | Enterprise AI governance | Fast-API | 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 | Software Architecture | Vector Databases
Education
N/A
Roles
AI | AI Engineer | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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