Senior Machine Learning and Artificial Intelligence Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create agentic AI systems by designing and implementing tool-calling agents that merge retrieval, structured reasoning, and secure action execution, ensuring safeguards for security and compliance.

• Establish evaluation frameworks for open-source and foundational LLMs, incorporating retrieval, prompt synthesis, response validation, and self-correction loops for production operations.

• Integrate agents within runtime ecosystems, linking them to observability, incident management, and deployment systems for automated diagnostics and remediation with traceability.

• Work closely with production and application teams to translate challenges into agentic AI capabilities, aiding in defining objective functions related to reliability, risk mitigation, and cost-effectiveness.

• Strengthen governance by developing validator models, adversarial prompts, and policy checks, while also implementing deterministic fallbacks, circuit breakers, and rollback strategies.

• Improve scalability and performance through prompt engineering, context management, caching, and model routing to fulfill SLOs.

⛳️ Requirements

• Practical experience with AWS services (ECS/EKS, Lambda, S3, DynamoDB, Redshift, Step Functions, SageMaker) and infrastructure as code (Terraform/CloudFormation).

• Demonstrated software development expertise in Python, C/C++, Go, or Java.

• 5–7 years of experience designing, developing, testing, and deploying ML systems in production, covering deployment/serving, evaluation, monitoring, data pipelines, and fine-tuning workflows.

• Practical experience with LLM API integration, prompt engineering, fine-tuning/adaptation, RAG, and tool-using agents.

• Familiarity with both commercial and open-source LLMs and their functionalities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).

• Strong understanding of applied statistics, fundamental ML concepts, algorithms, and data structures.

• Advanced proficiency in English (C1/C2).

• Significant hands-on experience with Python at scale.

🏝️ Benefits

• Multi-benefit card – choose how and where to use it.

• Scholarships for undergraduate, graduate, MBA, and language courses.

• Certification incentive programs.

• Flexible working hours.

• Competitive salaries.

• Annual performance review with a structured career development plan.

• International career opportunities.

• Wellhub and TotalPass.

• Private pension plan.

• Childcare assistance.

• Medical insurance.

• Dental insurance.

• Life insurance.