Senior Devops / Llm Engineer

buscojobs Brasil; Santa Catarina; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading recruitment platform in Brazil is seeking an experienced Dev / LLMOps Engineer to design and maintain infrastructure for Large Language Model platforms. This role requires strong technical leadership in AI systems and collaboration with cross-functional teams. Candidates must have extensive experience in ML system deployment and LLM integration, with a proven ability to deliver within fast-paced environments. English fluency is mandatory.

Qualificações

• Proven experience with deploying large-scale ML systems.
• Ability to build prototypes and scale them into MVPs.
• Technical leadership in DevOps strategies.

Responsabilidades

• Own strategy and execution of AI systems using LLMs.
• Collaborate with product teams to integrate LLM agents.
• Design and manage CI / CD pipelines for LLM workflows.

Conhecimentos

5+ years building and deploying ML or GenAI systems in production

2+ years experience with LLM integration or autonomous reasoning systems

End-to-end AI / ML delivery

Cloud expertise (AWS, GCP, or Azure)

Experience with Databricks

Strong agility in fast-moving product environments

Formação académica

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

Ferramentas

Databricks

Langchain

CI / CD tools

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