Agentic/AI engineers with Claude/code/LLM skills2
Tasks
- Apply LLM guardrails and policy constraints
- Build RAG pipelines
- Collaborate with MLOps and platform teams
- Collaborate with data engineering teams
- Create technical documentation and reusable components
- Design and build agentic LLM solutions
- Develop LLM production services and APIs
- Evaluate LLM and RAG outputs
- Implement prompt engineering and prompt orchestration
- Integrate with enterprise data sources
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Chroma | ELT | ETL | Embeddings | Evaluation | Faiss | FastAPI | Flask | Function Calling | Google Cloud | Guardrails | Hugging Face | Langchain | Langgraph | Language Models | Large Language Models | Monitoring | Pinecone | Prompt engineering | Python | RAG | Semantic Search | Streamlit | Tool-Calling | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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