RiVi Consulting Group L.L.C
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If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information. Responsibilities
Build and deploy GenAI applications and AI agents for business use cases. Architect Agentic workflows, RAG-based solutions, and multi-modal AI systems. RAG is must and GraphRAG experience is highly preferred. MCP (Model Context Protocol) and A2A (Agent-to-Agent) experience are important here. AWS Bedrock and Knowledge Base. Must be a strong Data Scientist with deep knowledge in ML and Deep Learning, and recent hands-on GenAI experience. Experience with AI Agents and using them in workflows. Experience building GenAI Agents and working on GenAI-oriented projects. Hands-on with prompt engineering, RAG, and MCP implementation. Ability to design and build models and agents for identified business use cases. Should handle data science solutions end-to-end, including integration with databases (e.g., Snowflake or any other). Background: PhD in AI/Data Science, 10+ years in AI/ML, 3+ in GenAI/LLMs. Portfolio: GitHub link required (for code review). Qualifications
Must Have Qualifications:
Must have hands on experience with machine learning transitioned into GenAI. Rag, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Preferred
Preferred:
Built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at RiVi Consulting Group L.L.C by 2x
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If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information. Responsibilities
Build and deploy GenAI applications and AI agents for business use cases. Architect Agentic workflows, RAG-based solutions, and multi-modal AI systems. RAG is must and GraphRAG experience is highly preferred. MCP (Model Context Protocol) and A2A (Agent-to-Agent) experience are important here. AWS Bedrock and Knowledge Base. Must be a strong Data Scientist with deep knowledge in ML and Deep Learning, and recent hands-on GenAI experience. Experience with AI Agents and using them in workflows. Experience building GenAI Agents and working on GenAI-oriented projects. Hands-on with prompt engineering, RAG, and MCP implementation. Ability to design and build models and agents for identified business use cases. Should handle data science solutions end-to-end, including integration with databases (e.g., Snowflake or any other). Background: PhD in AI/Data Science, 10+ years in AI/ML, 3+ in GenAI/LLMs. Portfolio: GitHub link required (for code review). Qualifications
Must Have Qualifications:
Must have hands on experience with machine learning transitioned into GenAI. Rag, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Preferred
Preferred:
Built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at RiVi Consulting Group L.L.C by 2x
#J-18808-Ljbffr