AI Engineer Manager
USD 137K-220K (estimate) Senior-level Full Time
Tasks
- Build scalable inference infrastructure
- Design AI APIs and microservices
- Design and build RAG systems
- Design evaluation frameworks
- Develop LLM-powered solutions
- Identify and categorize model failures
- Implement MLOps and LLMOps pipelines
- Lead AI project delivery end to end
- Mentor engineers and support solution design
- Run structured experiments
Perks/Benefits
- Anniversary gifts
- Birthday gifts
- English lessons
- Equipment provided
- Every day lunches
- Flexible working options
- Learning opportunities
- Mentoring and development
- Snacks and beverages
- Team events
Skills/Tech-stack
API Design | CI/CD | Chunking | Containerization | Cost Optimization | Embeddings | Evaluation metrics | Event Driven | Event-driven architecture | Few-Shot Learning | Few-shot | Git | Inference Optimization | Infrastructure as Code | LLMOps | Language Models | Large Language Models | Latency optimization | MLOps | MLflow | Microservices | Orchestration | Prompt engineering | Python | Reliability Engineering | Reranking | Retrieval-Augmented Generation | Scalable inference | Structured outputs | Weights and Biases | “as-code”
Education
N/A
Roles
AI | AI Engineer | AI Engineer Manager | Engineer Manager | Manager
Regions
Countries
States
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