AI Engineer with Python

• Build applications leveraging foundation models and advanced GenAI techniques such as GraphRAG.
• Develop autonomous agents using modern agentic frameworks
• Implement MCP integrations and Python-based full-stack solutions
• Create scalable REST APIs and deploy AI workloads on major clouds
• Apply LLMOps/MLOps best practices for CI/CD and monitoring
• Work across teams, mentor others, and drive innovation in embeddings, knowledge graphs, and ontologies

What You’ll Bring with You: 

• Degree in CS, AI/ML, or related field
• 5+ years of AI/ML-focused software engineering
• Production experience with LLMs and agentic systems
• Exceptions versed in Python and associated AI libraries.
• Experience with embeddings at scale, knowledge graphs, ontology extraction, and advanced GraphRAG
• Full-stack skills (Python back end + modern front end)
• Cloud deployment experience (AWS, Azure, or Google Cloud Platform)
• Familiarity with LLMOps tools and strong problem-solving/communication skills

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