Related skills
aws python apis genai llmops๐ Description
- Build apps using foundation models and GenAI (Agentic RAG, KG-RAG)
- Develop autonomous agents with modern agentic frameworks
- Implement MCP integrations and Python-based full-stack solutions
- Create scalable REST APIs and deploy AI workloads on cloud platforms
- Apply LLMOps/MLOps best practices for CI/CD and monitoring
- Collaborate across teams; mentor others; drive embedding, KG, and ontology work
๐ฏ Requirements
- Degree in CS, AI/ML, or related field
- 5+ years of AI/ML-focused software engineering
- Production experience with LLMs and agentic systems
- Strong MCP knowledge and expert-level Python (no Java)
- Experience with embeddings at scale, knowledge graphs, ontologies, RAG
- 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
- Willingness to work in the Orlando (Maitland) office 3 days/week
๐ Benefits
- Medical, dental, and vision insurance
- 401(k) plan
- Tuition reimbursement
- Work culture focused on innovation and lasting value
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