Staff AI Engineer

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

📋 Description

• Spearhead the strategy for the implementation and adoption of Artificial Intelligence within Marketing Services products.

• Execute comparative experiments utilizing various LLMs, agents, and GenAI architectures.

• Design, refine, and advance RAG pipelines, which include chunking, embeddings, retrieval, and ongoing evaluation.

• Develop evaluation and benchmarking frameworks for GenAI applications.

• Assess the performance, costs, and ROI of AI-driven solutions.

• Choose between Prompt Engineering, RAG, Fine-Tuning, and multi-agent architectures.

• Detect AI opportunities in collaboration with Product, Engineering, Data, and Leadership teams.

• Convert technical findings into actionable recommendations for the roadmap, architecture, governance, and capabilities.

• Set best practices, technical standards, and responsible usage of GenAI.

• Create the applied AI vision for Marketing Services.

• Offer functional leadership to AI Engineers by providing technical direction, conducting architecture reviews, mentoring, and documentation.

• Impact GenAI architecture and strategic decisions across various squads.

• Monitor production use cases, lead times, inference costs, component adoption, and BU autonomy.

⛳️ Requirements

• Over 5 years of experience in software engineering, data, or Machine Learning, demonstrating a history of increasing technical responsibilities.

• Proven track record of leading technology transformations at the department, business unit, or organizational level with measurable outcomes.

• Experience in establishing standards, components, or technical practices that are adopted by other teams.

• Demonstrated experience in deploying GenAI solutions to production, utilizing RAG and/or agents, with real users, ongoing support, and measurement of quality and costs.

• Practical experience with GenAI and LLMs in a real-world business setting.

• Experience in designing, assessing, and evolving solutions using RAG, embeddings, retrieval, and/or agents.

• Background in linking AI to digital products, enhancing operational efficiency, automation, or accelerating journeys.

• Advanced proficiency in Python.

• Strong understanding of SQL and large-scale data manipulation.

• Solid grounding in statistics, data analysis, and experimentation.

• Experience in evaluating generative models employing both traditional metrics and LLM-based methodologies.

• Familiarity with the OpenAI SDK, LangChain, CrewAI, or similar tools.

• Experience in building MCP (Model Context Protocol) servers.

• Capability to document trade-offs and translate technical conclusions into actionable recommendations.

• Experience in developing engineers through mentoring and elevating the technical standards.

• Ability to influence roadmaps and architectural decisions without formal authority.

• Advanced English proficiency is essential for reading, writing, and conversation.

• Experience with Fine-Tuning, Transfer Learning, Hugging Face, PyTorch, or TensorFlow is advantageous.

• Familiarity with AWS Bedrock Agents / AWS Agent Core is a plus.

• Experience with n8n, Flowise, LangFlow, or equivalent tools is beneficial.

• Experience with Prompt Optimization, including DSPy or similar tools, is a plus.

🏝️ Benefits

• A culture of inclusivity and an environment that encourages balancing your career with personal commitments and interests.

• A commitment to employee well-being.

• Opportunities for exceptional experiences and career development.

• Recognized as a Great Place To Work™ in 24 countries.

• Certified as an International Top Employer.

• Maintains a 4.6 rating on Glassdoor.