Senior AI Engineer

We are looking for a Senior AI Engineer to build and operate the technological infrastructure that supports Machine Learning, Generative AI, and intelligent agent models, driving solutions from development to production with scalability, security, and reliability.

Responsibilities:

• Design, implement, and maintain MLOps and LLMOps pipelines;
• Develop infrastructure for model deployment, monitoring, and retraining;
• Build RAG solutions, AI agents, and integrations with enterprise systems;
• Provide models and agents through APIs and scalable services;
• Implement observability, evaluation, and monitoring mechanisms for AI models and applications;
• Develop integrations with databases, vector stores, APIs, and various information sources;
• Automate development, testing, deployment, and update processes for solutions;
• Ensure security, technical governance, traceability, and reliability of applications;
• Monitor performance, availability, and costs of solutions;
• Work together with Data Scientists, Data Engineers, Architects, Technology teams, and business areas;
• Document architectures, integrations, workflows, technical decisions, and operational procedures;
• Evaluate new AI technologies, models, and frameworks applicable to project challenges.

Requirements:

• Proven experience as an AI Engineer, Machine Learning Engineer, or similar senior-level role;
• Experience deploying and operating Machine Learning and Generative AI models in production;
• Proficiency in Python and API development;
• Experience with MLOps and LLMOps practices and tools;
• Knowledge of RAG architectures, AI agents, and integration with language models;
• Experience with cloud environments and scalable infrastructure;
• Knowledge of containers, deployment automation, monitoring, and observability;
• Experience integrating enterprise systems, databases, and APIs;
• Knowledge of security, governance, access control, and data protection in AI solutions;
• Ability to evaluate performance, reliability, scalability, and costs of solutions;
• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, Data Science, or related fields.

Essential Technical Knowledge:

• Advanced Python;
• REST API development and integration;
  MLOps and LLMOps;
• Model deployment, versioning, and monitoring in production;
• Development of RAG solutions and AI agents;
• Integration with language models and Generative AI services;
• Knowledge of relational databases, NoSQL, and vector databases;
• Docker and application containerization;
• CI/CD pipelines;
• Cloud services in AWS, Azure, or Google Cloud;
• Monitoring, observability, and logging of applications and models;
• Git and collaborative development practices;
• Security, authentication, access control, and data protection;
• Ability to create scalable, reliable, and cost-effective solutions.

Nice-to-haves:

• Experience with Kubernetes and container orchestration;
• Knowledge of MLflow, Kubeflow, or equivalent tools;
• Experience with LangChain, LangGraph, LlamaIndex, or similar;
• Knowledge of Databricks, Azure Machine Learning, Vertex AI, or Amazon SageMaker;
• Experience with Terraform or other infrastructure as code tools;
• Knowledge of evaluation, monitoring, and observability tools for Generative AI applications;
• Experience with microservices architectures, distributed processing, messaging, and event processing;
• Knowledge of responsible AI practices, explainability, and risk prevention;
• Experience in AI projects applied to credit, collection, sales, operations, or customer service;
• Postgraduate degree or specialization in Artificial Intelligence, Machine Learning, Software Engineering, Solutions Architecture, or related areas;
• Certifications in Artificial Intelligence, Machine Learning, Generative AI, Cloud, Databricks, Kubernetes, DevOps, MLOps, solutions architecture, or cloud security.

Employment model:

• Hybrid Model: 3 days a week in-person – Alphaville, Barueri/SP

Benefits:

• Training and courses in market data technologies.
• Certification assistance (100% reimbursement).
• Learning paths in data and cloud technologies.
• Partnerships with higher education institutions.
• TotalPass.
• Negotiable salary, competitive with the market.

We are ATRA

ATRA is a specialist in Data and an official partner of major technology companies: Google, Denodo, Databricks, Informatica, Microsoft, AWS, Atlan, BigID, and IBM. We are certified as one of the best companies to work for in Brazil. We help companies innovate and transform their data into strategic assets.

We are passionate about data! Interested?