AI Engineer (Hybrid)
USD 125K-175K (estimate) Mid-level Full Time
Tasks
- Automate business workflows
- Build and fine-tune LLM solutions
- Deploy models using Docker and cloud
- Design AI agents
- Develop and deploy AI agents
- Ensure production scalability and performance
- Evaluate model outputs
- Implement RAG systems
- Integrate AI services with backend and frontend
- Integrate agent orchestration frameworks
- Perform prompt engineering
Perks/Benefits
Skills/Tech-stack
Agent Orchestration | Agent systems | Autogen | CI/CD | ChromaDB | Claude | Cloud | CrewAI | Docker | FastAPI | Flask | Gemini | Git | Langchain | Language Models | Large Language Models | Llama | Mistral | Model Evaluation | Multi-Agent | Multi-Agent Systems | OpenAI | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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