[Job - 29617] Senior Devops, Brazil

• →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.

If you are passionate about driving innovation in AI and shaping the future of infrastructure, we would love to hear from you!