AI Developer (LLM & Agentic Systems)
Tasks
- Apply NLP techniques
- Automate DevOps workflows
- Build data pipelines
- Build full stack applications
- Design AI-enabled applications
- Design knowledge based platforms
- Develop backend APIs
- Implement agentic workflows
- Implement secure maintainable testable code
- Integrate LLM workflows
- Integrate knowledge graphs
- Support CI/CD
- Translate requirements into solutions
Perks/Benefits
Skills/Tech-stack
APIs | Azure | CI/CD | Cloud Native | Cloud-native development | Cypher | DevOps | Docker | ETL | Embeddings | Entity Resolution | Entity recognition | FastAPI | Git | Knowledge graphs | Kubernetes | Language Models | Large Language Models | Microservices | NLP | Native Development | Node.js | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SPARQL | Semantic Search | Semantic layers | Structured data | Unstructured Data | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Developer | Developer | Engineer | Software Engineer
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