AI Engineer
Tasks
- Apply fine tuning
- Build multi-agent workflows
- Build scalable backend services and APIs
- Collaborate with customers for AI solution delivery
- Deploy and monitor models in production
- Design Agentic AI systems
- Develop LLM-powered applications
- Develop machine learning pipelines
- Develop responsible AI controls
- Implement guardrails and evaluation frameworks
- Implement rag pipelines
- Integrate AI models with enterprise environments
- Own end to end AI development lifecycle
- Perform prompt engineering
- Set up LLMOps infrastructure
- Support pre sales proof of concept demonstrations
Perks/Benefits
Skills/Tech-stack
AWS | Automl | Azure | CI/CD | Docker | Fine Tuning | Function Calling | Google Cloud | Guardrails | Human Feedback | Kubernetes | LLMOps | Langchain | Learning from Human Feedback | Llamaindex | ML pipelines | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST APIs | Reinforcement Learning | Reinforcement Learning from Human Feedback | Scikit-learn | TensorFlow | Tool use
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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