Senior AI Engineer

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

📋 Description

• Develop and sustain pipelines that incorporate version control, automated testing, controlled deployment, and rollback procedures.

• Execute MLOps practices, which encompass model registry, training and inference pipelines, retraining, monitoring, and drift detection.

• Implement LLMOps strategies, including a unified model gateway, prompt versioning, automated evaluation, and caching mechanisms.

• Create RAG and agent-based applications, incorporating their harnesses, context management, skills, tools, and execution controls.

• Connect solutions with data sources, APIs, and transactional systems, including integrations through MCP.

• Oversee quality, availability, latency, throughput, and costs, ensuring usage-level traceability.

• Establish guardrails, access controls, and data protection measures in compliance with regulated-environment standards.

• Investigate failures and uphold recovery procedures along with operational documentation.

⛳️ Requirements

• Proven experience in software engineering applied to data and artificial intelligence systems.

• Strong proficiency in Python along with experience in Spark.

• Demonstrated experience in implementing MLOps and LLMOps.

• Practical understanding of agent harnesses, including execution lifecycle, state management, checkpoints, resumption, and failure handling.

• Familiarity with context engineering, which includes information selection, memory, token limits, and isolation between sessions and users.

• Experience with skills, tool invocation, and MCP to equip agents with necessary capabilities and tools.

• Understanding of RAG, embeddings, retrieval, and context-relevance evaluation.

• Experience with cloud platforms, containers, CI/CD practices, and infrastructure as code.

• Solid grasp of how latency, throughput, cost per request, and failure modes impact operations.

• Knowledge of AI security measures, including guardrails, permissions, secrets management, and protection against prompt injection.

• Experience working in regulated environments with audit and traceability requirements.

• Willingness to operate under a contractor (PJ) arrangement.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and remote work options.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.

• Access to cutting-edge technologies and tools.