[Job- 29617] Senior Devops, Brazil

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Design and implement end-to-end AI architectures, including data pipelines, model orchestration, and scalable inference endpoints.
Lead the evaluation and selection of AI technologies (e.g., OpenAI, Anthropic, Hugging Face) to optimize performance, cost, and latency.
Architect robust frameworks for Retrieval-Augmented Generation (RAG) and agentic workflows, enhancing model accuracy and relevance.
Establish best practices for MLOps and LLMOps, ensuring seamless CI/CD for AI models and maintaining rigorous version control.
Collaborate with Data Scientists, Backend Engineers, and Product Leads to translate business goals into high-impact AI features.
Implement security protocols and ethical guardrails for AI usage, focusing on data privacy, bias mitigation, and cost management.

A degree in Computer Science, Engineering, or a related field.
Extensive experience as a DevOps Engineer with a focus on platform architecture and designing scalable infrastructure solutions.
Experience with .Net and Terraform.
Proficiency in building and optimizing CI/CD pipelines using Bitbucket, with an emphasis on automation and efficiency.
Strong scripting and automation skills (Python, Bash, or similar) for creating scalable solutions.
Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Deep knowledge of cloud ( AWS, Azure, or GCP)with expertise in infrastructure provisioning and management.

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