Senior Devops / Llm Engineer

buscojobs Brasil; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A tech recruitment company is seeking an experienced Dev / LLMOps Engineer in São Paulo, Brazil. This role focuses on designing and maintaining infrastructure for Large Language Models, driving development of intelligent AI systems. Candidates must have significant experience in ML systems and LLM integration, along with fluency in English. The position offers opportunities to work with cutting-edge AI technology in a vibrant environment.

Qualificações

• 5+ years building and deploying ML or GenAI systems in production.
• 2+ years of experience with LLM integration or LLM-based agents.
• Cloud expertise with CI / CD pipelines.

Responsabilidades

• Own strategy and execution of agentic AI systems using LLMs.
• Build prototypes and scale them into MVPs.
• Design and manage CI / CD pipelines for LLM training and deployment.

Conhecimentos

ML or GenAI systems

LLM integration

Cloud expertise (AWS, GCP, Azure)

DevOps practices

Databricks

Formação académica

Advanced degree (MS / Ph.D.) in ML or Computer Science

Ferramentas

Langchain

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