Python AI Engineer:
*MUST have GraphRAG experience!
What Youll Get to Do:
- 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 Youll 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 GCP)
- Familiarity with LLMOps tools and strong problem-solving/communication skills
Python AI Engineer: *MUST have GraphRAG experience! What Youll Get to Do: 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 ...
Python AI Engineer:
*MUST have GraphRAG experience!
What Youll Get to Do:
- 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 Youll 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 GCP)
- Familiarity with LLMOps tools and strong problem-solving/communication skills
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