Senior Devops / Llm Engineer

buscojobs Brasil; Rio Grande do Sul; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading job platform in Brazil is seeking an experienced Dev / LLMOps Engineer to design, deploy, and maintain LLM infrastructure. Candidates must have 5+ years in machine learning and 2+ years with LLM integration. Fluency in English (C1/C2) is mandatory. The role requires collaboration with engineering teams and expertise in cloud services, CI/CD pipelines, and technologies like Databricks. This opportunity is for those passionate about AI innovation.

Qualificações

• 5+ years building and deploying ML or GenAI systems in production.
• 2+ years proven experience with LLM integration or LLM-based agents.
• Expertise in end-to-end AI / ML delivery: data prep to monitoring.
• Cloud expertise with CI / CD pipelines and infrastructure automation.

Responsabilidades

• Own strategy and execution of agentic AI systems using LLMs.
• Build prototypes and scale them into MVPs demonstrating AI viability.
• Collaborate with engineering teams to embed LLM agents in features.
• Design and manage CI / CD pipelines for LLM training workflows.
• Provide technical leadership on DevOps and deployment strategies.

Conhecimentos

Machine Learning

DevOps practices

English (C1 or C2)

Cloud expertise (AWS, GCP, Azure)

Databricks

Langchain / GenAI toolkits

Agility in fast-moving environments

Formação académica

Advanced degree (MS / Ph.D.) in ML or related field

Ferramentas

CI / CD pipelines

Infrastructure automation

Descrição da oferta de emprego

Overview

We’re seeking an experienced Dev / LLMOps Engineer to design, deploy, and maintain the infrastructure supporting Large Language Model (LLM) platforms. This role blends DevOps best practices with AI / ML expertise, with a focus on building and scaling agentic AI systems that integrate directly with LLMs. You’ll drive development of intelligent, autonomous agents while ensuring reliability, scalability, and performance across training, fine-tuning, and deployment pipelines.

English fluency is a MUST for this role! Only candidates with level C1 or C2 will be considered :

• A1 Beginner
• A2 Elementary
• B1 Intermediate
• B2 Upper-Intermediate
• C1 Advanced
• C2 Proficient

Responsibilities

• Own strategy and execution of agentic AI systems using LLMs and autonomous decision-making components
• Build prototypes and scale them into MVPs demonstrating real-world AI viability
• Collaborate with engineering and product teams to embed LLM agents into user-facing features
• Design and manage CI / CD pipelines for LLM training and deployment workflows
• Provide technical leadership on DevOps, security, and deployment strategies for AI / ML models

Requirements

• 5+ years building and deploying ML or GenAI systems in production, with strong architectural and systems-level ownership
• 2+ years of proven experience with LLM integration, LLM-based agents, or autonomous reasoning systems
• End-to-end AI / ML delivery : data prep, training, evaluation, deployment, monitoring
• Cloud expertise (AWS, GCP, or Azure) with CI / CD pipelines, multi-tenant deployments, and infrastructure automation
• Experience with Databricks and familiarity with Langchain / GenAI toolkits
• Strong agility and ability to deliver in fast-moving product environments

Nice To Have

• Advanced degree (MS / Ph.D.) in ML, Computer Science, or related field
• Deep expertise in DevOps / MLOps practices and scaling secure, enterprise-grade AI workflows
• Broader data engineering knowledge, especially in Databricks
• Background in aviation industry