Senior AI Engineer

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services.

• Implement and optimize prompt engineering, agent orchestration, structured outputs, and intelligent decision-making workflows.

• Develop evaluation frameworks to measure agent accuracy, reliability, consistency, and overall performance.

• Establish performance baselines, automated tests, and regression validation processes to assess changes in agent behavior.

• Implement guardrails and validation mechanisms to promote safe, accurate, and reliable AI-generated outputs.

• Build intelligent information retrieval, filtering, ranking, and selection strategies using LLMs.

• Investigate and resolve issues involving hallucinations, incorrect interpretations, and inconsistent agent responses.

• Develop end-to-end AI features that integrate LLMs with backend APIs, document processing, and cloud infrastructure.

• Improve agent observability through execution tracing, session tracking, and production monitoring.

• Collaborate with engineering and product teams to deliver scalable, production-ready AI solutions.

• Optimize LLM performance, latency, and operational costs through experimentation and measurable improvements.

Requirements:

• Solid professional experience in AI engineering, machine learning engineering, or software development involving production AI applications.

• Strong proficiency in Python, including experience developing APIs, integrations, and automated tests.

• Hands-on experience building applications powered by Large Language Models (LLMs) and implementing agentic AI workflows.

• Experience with prompt engineering, LLM orchestration, and structured output generation.

• Practical experience evaluating LLM outputs, designing testing strategies, and measuring AI application quality.

• Understanding of LLM limitations, including hallucinations, response variability, and reliability challenges.

• Experience with AWS services such as Bedrock, Lambda, S3, CloudWatch, or similar cloud technologies.

• Strong knowledge of software engineering best practices, CI/CD, and cloud-based application development.

• Strong analytical, troubleshooting, and problem-solving skills, particularly when investigating complex agent behavior.

• Advanced or fluent English communication skills, both written and verbal, to collaborate effectively in a remote environment.

Benefits:

• Health and dental insurance.

• Meal and food allowances.

• Childcare assistance.

• Extended paternity leave.

• Gym, fitness, and wellness partnerships through platforms such as Wellhub (Gympass) and TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Access to a continuous learning platform.

• Discount club membership.

• Online resources supporting physical, mental, and overall well-being.

• Pregnancy and responsible parenting courses.

• Partnerships with online learning platforms.

• Access to a language-learning platform.

• Remote work arrangement.

• Additional benefits and employee support initiatives.