Senior AI Platform Engineer
Buenos Aires, Buenos Aires, Argentina
EUR 54K-75K (estimate) Senior-level Full Time
Tasks
- Automate infrastructure using Infrastructure as Code
- Build AI agents
- Build CI/CD pipelines
- Build deploy operate AI platform
- Create AI APIs and SDKs
- Define AI use cases delivery roadmaps
- Design AI solutions
- Develop optimize RAG pipelines
- Ensure security scalability resilience compliance cost efficiency
- Implement AI observability and monitoring
- Implement model evaluation and governance
- Integrate LLM providers
- Manage MLOps and AI Ops
- Mentor engineers
Perks/Benefits
- Career coaching
- Certifications
- Employee assistance programme
- Flexible working hours
- Hybrid work
- Training
- Wellbeing programme
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | Cloud Architecture | Deep learning | Distributed Systems | Docker | Event Driven | Event-driven architecture | GCP | Infrastructure as Code | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Lifecycle Management | MLOps | Machine Learning | Microservices | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Monitoring | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | Vector Databases | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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