Senior Devops / Llm Engineer

buscojobs Brasil; Ceará; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A job recruitment platform in Brazil is seeking an experienced Dev / LLMOps Engineer to design and maintain LLM infrastructures. This role requires strong expertise in ML systems and CI/CD pipelines, with English fluency at a C1 or C2 level. The ideal candidate will take ownership of AI systems and collaborate with engineering teams to build scalable solutions. Advanced degrees and experience in Databricks are preferred. Join us to drive innovation in AI technologies.

Qualificações

• 5+ years building and deploying ML or GenAI systems in production.
• 2+ years of experience with LLM integration and autonomous reasoning.
• Expertise in CI / CD pipelines and multi-tenant deployments.

Responsabilidades

• Own strategy and execution of agentic AI systems.
• Build prototypes and scale them into MVPs.
• Collaborate with engineering and product teams.

Conhecimentos

English fluency (C1 or C2)

ML system deployment

Cloud expertise (AWS, GCP, Azure)

Databricks experience

Agility in product environments

Formação académica

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

Ferramentas

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