Senior AI Engineer
Tasks
- Apply prompt engineering
- Build LLMOps infrastructure
- Build multi-agent frameworks
- Coordinate cross-functional delivery
- Create function calling tool use
- Deliver responsible AI controls
- Deploy AI services on cloud and on prem Kubernetes
- Design Agentic AI systems
- Design production ML pipelines
- Develop LLM-powered applications
- Develop evaluation frameworks
- Develop scalable backend services and REST APIs
- Implement AI guardrails
- Implement rag pipelines
- Integrate AI models into enterprise environments
- Lead end to end AI customer engagements
- Mentor junior ML engineers
- Perform model fine-tuning
- Review engineering outputs and architecture decisions
Perks/Benefits
Skills/Tech-stack
CI/CD | Docker | Fine Tuning | Guardrails | Kubernetes | LLMOps | Langchain | Llamaindex | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST APIs | RLHF | Scikit-learn | TensorFlow
Education
N/A
Roles
AI Engineer | Engineer | Principal | Principal AI Engineer | Senior AI Engineer
Regions
Countries
States
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