Job Description

Accountabilities:

The Senior AI Engineer will be responsible for designing, developing, and operating scalable AI-powered products, ensuring reliability, quality, and continuous improvement across the full AI lifecycle. The role requires strong technical ownership, from solution design through production deployment and optimization.

• Design, develop, and deliver agentic AI products, including agent identities, reusable skills, tool integrations, and structured outputs within a configurable AI platform.
• Build advanced prompt and context engineering solutions, including system prompt design, data-driven context injection, memory management, and structured response generation.
• Develop and integrate AI tools connected to internal systems, databases, and external platforms using modern agent integration approaches.
• Create and maintain evaluation frameworks, including LLM-as-judge systems, regression benchmarks, quality metrics, and validation processes to ensure trustworthy AI outputs.
• Work with multiple large language model providers, selecting and optimizing models based on quality, latency, reliability, and cost considerations.
• Improve production AI systems through monitoring, observability, performance optimization, and operational best practices.
• Collaborate with software engineers, data teams, and product stakeholders to deliver complete AI solutions aligned with business objectives.
• Stay current with emerging AI technologies, models, and frameworks, applying relevant innovations to improve platform capabilities.
• Maintain high standards of code quality, documentation, testing, and engineering practices.

Requirements:

The ideal candidate has strong software engineering experience combined with hands-on expertise building production AI applications. This role requires technical depth, problem-solving ability, and the autonomy to manage complex projects from concept to delivery.

• Strong programming skills in Python, including modern asynchronous Python development for production services.
• Proven experience building and deploying LLM-powered applications, including AI agents, tool usage, function calling, prompt engineering, retrieval-augmented generation (RAG), and structured outputs.
• Experience working with major LLM providers such as OpenAI, Anthropic, Google, or similar platforms, with knowledge of model capabilities and trade-offs.
• Experience with FastAPI or equivalent modern web frameworks, along with Pydantic and API development practices.
• Understanding of AI evaluation methodologies, including offline evaluations, benchmarking, regression testing, and quality measurement.
• Experience with cloud platforms and containerized environments, including Docker-based deployments.
• Familiarity with production databases such as MongoDB, SQL-based systems, or data platforms.
• Experience with software testing practices, CI/CD workflows, and maintaining reliable production systems.
• Strong analytical thinking, ownership mindset, and ability to independently solve complex technical challenges.
• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related field, or equivalent practical experience.
• Excellent communication skills and ability to collaborate effectively across technical and business teams.

Preferred qualifications:

• Experience with Model Context Protocol (MCP) or similar AI agent integration standards.
• Experience with observability tools such as OpenTelemetry, Grafana, Loki, or structured logging solutions.
• Experience with advanced data platforms, including Databricks capabilities beyond SQL.
• Experience launching products or systems from concept to production in a rapidly changing environment.
• Knowledge of classification pipelines, fine-tuning approaches, or AI optimization techniques.
• Contributions to open-source AI projects or developer communities.

Benefits:

• Fully remote work model for professionals based in Brazil.
• PJ contract structure with flexibility and autonomy.
• Opportunity to work on advanced AI systems and cutting-edge agentic technologies.
• High-impact role with ownership over AI products used in real business environments.
• Collaborative environment with experienced engineering, data, and product professionals.
• Opportunity to continuously learn and work with emerging AI models, tools, and frameworks.
• Space to influence technical decisions and contribute to the evolution of AI solutions.