AI Engineer

Aevium

AI Engineer developing agents with LLMs for Aevium, a technology consulting firm. Focused on AI-driven solutions and generative applications with a hybrid working model.

Posted 7/31/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing intelligent agents using Large Language Models (LLMs) and Generative AI, with a strong focus on implementing Retrieval-Augmented Generation (RAG) solutions and ensuring the scalability and security of AI applications.

Highest-signal resume keywords

Python DevelopmentGenerative AI ExpertiseIntelligent Agent DevelopmentKubernetes DeploymentAI Application Security

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Applicant Tracking System Keywords

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Hard Skills

PythonGenerative AILarge Language ModelsRetrieval-Augmented GenerationEmbeddingsSemantic SearchVector DatabasesObservability ToolsEvaluation ToolsDocument Ingestion

Soft Skills

Client EngagementConsulting Experience

Tools & Technologies

LangChainLangGraphLlamaIndexLangSmithPromptfooArize Phoenix

Industry Keywords

AI SecurityFinancial Sector

Tech Stack

Tools & technologies

KubernetesPython

About the role

Key responsibilities & impact

Develop intelligent agents using LLMs
Design and implement applications based on Generative AI
Develop solutions based on RAG (Retrieval-Augmented Generation)
Design pipelines for document ingestion, indexing, and retrieval
Integrate AI models with APIs and enterprise systems
Develop tools and automations for intelligent agents
Create tools for agents
Ensure scalability, security, monitoring, and optimization of developed solutions
Monitor cost, performance, and utilization of models

Requirements

What you’ll need

Strong development experience with Python
Advanced knowledge of Generative AI and Large Language Models (LLMs)
Experience developing intelligent agents using frameworks such as LangChain, LangGraph, or LlamaIndex
Experience implementing RAG (Retrieval-Augmented Generation) solutions, including embeddings, semantic search, and vector databases
Experience deploying applications on Kubernetes
Experience in consulting projects or direct client engagement
Experience with observability and evaluation tools for AI applications, such as LangSmith, Promptfoo, and Arize Phoenix
Knowledge of AI application security (AI Security)
Experience in the financial sector is a plus

Benefits

Comp & perks

20 days of scheduled and paid leave per year for rest, travel, or important personal moments
TotalPass access to gyms, nutritionists, and psychologists to support your physical and mental health and wellbeing