AI Engineering Lead
Buenos Aires, Buenos Aires, Argentina
USD 130K-213K (estimate) Senior-level Full Time
Tasks
- Analyze model failure modes
- Apply prompt engineering techniques
- Automate MLOps and LLMOps lifecycle
- Build CI CD pipelines for AI models
- Build production LLM powered solutions
- Build scalable inference infrastructure
- Define AI system scope and communicate risks
- Design APIs and microservices
- Design and build RAG systems
- Design and build agentic frameworks
- Design evaluation frameworks
- Lead end-to-end AI project delivery
- Mentor junior engineers
- Orchestrate AI services for latency cost reliability
- Perform feasibility assessments for AI approaches
- Run structured experiments for prompts and retrievers
Perks/Benefits
- Company-provided equipment
- English lessons
- Flexible working options
- Learning opportunities
- Mentorship programs
- Travel opportunities
- Udemy Business
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | Chunking | Cloud Computing | Containers | Deployment | Embeddings | Evaluation | Event Driven | Event-driven architecture | GCP | Git | Inference Optimization | Infrastructure as Code | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model versioning | Monitoring | Precision at K | Prompt engineering | Python | RAG | Recall at K | Reranking | Retrieval | Weights and Biases | “as-code”
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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