AI/LLM Engineer
Tasks
- Build agentic workflows
- Build frontend and backend systems
- Design LLM applications
- Develop and deploy LLM integrations
- Generate and run tests
- Implement LLM fine-tuning
- Implement rag pipelines
- Integrate Python and Java services
- Manage embeddings and vector search
- Optimize rerankers for relevance
- Perform prompt engineering
- Use AI coding tools for code generation
Perks/Benefits
Skills/Tech-stack
Anthropic API | Context Optimization | Embeddings | Fine Tuning | Gemini API | Generative AI | GitHub Copilot | Java | Langchain | Langgraph | Language Models | Large Language Models | Llama | LoRA | Multi-threading | NumPy | Ollama | OpenAI API | Pandas | Parallelization | Prompt engineering | PyTorch | Python | QLoRA | REST APIs | React | Reranking | Retrieval-Augmented Generation | Scikit-learn | Vector Databases | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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