Agentic / AI Architect
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Role details
Tech stack
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Job description
Responsible for overall architecture of the application (including design and analysis of software projects) to create new applications or improve existing applications. Provide expertise into system, language and platform choices for teams to enable teams to run software tests, develop product prototypes, create technical documents and manuals relating to software application development.
Requirements
Mandatory Skills 8 years relevant client experience in similar technology, Including at least 5 years of on-site client experience in similar technology and domain Desired Skills Python, LangChain/LangGraph, RAG, MCP, Knowledge Graphs.
AI / Agentic Development
Expertise in agentic app development and prompt engineering Hands-on experience with AI agent frameworks: LangChain, LangGraph Skills (AI skills layer) Agentic development
AI & NLP Proficiency
Knowledge of Natural Language Processing (NLP) concepts and techniques Strong command of LLM/agentic orchestration including MCP integrations AI debugging and evaluation methodologies Focus on data security and privacy
Lead AI system design for multi-agent orchestration. Architect knowledge graph integration, define LLM evaluation methodologies, oversee data privacy/security protocols, mentor team on best practices.
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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