Senior Devops / Llm Engineer

buscojobs Brasil; Mato Grosso; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology recruitment firm in Brazil is seeking an experienced Dev / LLMOps Engineer to design and maintain infrastructure for Large Language Model platforms. This role involves building intelligent agents while ensuring performance and reliability across ML pipelines. The ideal candidate has over 5 years of experience in ML system deployment and strong cloud expertise in AWS, GCP, or Azure.

Qualificações

• 5+ years in building and deploying ML or GenAI systems.
• 2+ years with LLM integration or autonomous reasoning systems.
• Experience with end-to-end AI / ML delivery.

Responsabilidades

• Own the strategy and execution of agentic AI systems.
• Build prototypes and scale them into MVPs.
• Collaborate with engineering teams to embed LLM agents.

Conhecimentos

ML or GenAI systems deployment

LLM integration

Cloud expertise (AWS, GCP, Azure)

CI / CD pipelines

Experience with Databricks

Agility in fast-moving environments

Formação académica

Advanced degree in ML, Computer Science, or related field

Ferramentas

Databricks

Langchain / GenAI toolkits

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