AI Engineer Manager
COP 89364K-102180K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering for structured outputs
- Build agentic frameworks and LLM solutions
- Build scalable inference infrastructure
- Design AI evaluation frameworks
- Design APIs microservices and orchestration
- Design RAG systems for production
- Identify and categorize model failures
- Implement MLOps and LLMops lifecycle
- Lead AI project delivery end to end
- Mentor engineers and support solution design
- Run structured AI experiments
Perks/Benefits
- After office events
- All equipment provided
- Anniversary gifts
- Birthday gifts
- Chess championships
- English lessons
- Every day lunches
- Flexible working options
- Learning opportunities
- Mentoring and development
- Snacks and beverages
- Sports and game nights
- Study plans and courses
- Tech Tuesdays
- Tennis courts
Skills/Tech-stack
APIs | AWS | Agent Frameworks | Azure | CI/CD | Chunking | Containers | Cost Optimization | Embeddings | Evaluation metrics | Event Driven | Event-driven architecture | Few-Shot Learning | Few-shot | GCP | Git | Infrastructure as Code | LLM-as-a-Judge | LLMOps | Language Models | Large Language Models | Latency optimization | MLOps | MLflow | Microservices | Orchestration | Precision at K | Prompt engineering | Python | RAG | Recall at K | Reliability Engineering | Reranking | Retrieval | Scalability | Structured Output | Tool use | 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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