AI Engineer – Specialist II

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

📋 Description

• Lead comparative studies involving various LLMs, agents, and GenAI architectures applied to real-world business scenarios.

• Design, enhance, and advance RAG pipelines, encompassing chunking, embeddings, retrieval, and ongoing evaluation.

• Establish evaluation and benchmarking frameworks for GenAI applications.

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

• Assist in decisions pertaining to Prompt Engineering, RAG, Fine-Tuning, and multi-agent architectures.

• Collaborate with Product, Engineering, Data, and Leadership teams.

• Identify avenues where AI can expedite digital product strategies and enhance business unit value.

• Convert technical outcomes into recommendations for roadmap, architecture, governance, and capability enhancement.

• Contribute to best practices, technical standards, and the ethical use of GenAI.

• Develop an applied AI vision for Marketing Services.

• Influence decisions regarding GenAI architecture and strategy.

• Act as a technical resource and promote AI adoption throughout Marketing Services.

⛳️ Requirements

• Over 3 years of demonstrated experience in coordination, technical leadership, or roles with significant responsibilities.

• Background in AI Engineering, Machine Learning, Data Science, MLOps, or related disciplines.

• Proven history of working with genuine independence.

• Exceptional ability to comprehend, interpret, and shape the business unit’s strategy.

• Experience in experimentation, technological innovation, and continuous improvement, focusing on measurable outcomes.

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

• Familiarity with RAG, embeddings, retrieval, and/or agents.

• Involvement in initiatives linking AI to digital products, operational efficiency, automation, or journey acceleration.

• Advanced skills in Python.

• Strong understanding of SQL and handling large datasets.

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

• Experience assessing generative models using both traditional metrics and LLM-based methods.

• Knowledge of the OpenAI SDK, LangChain, CrewAI, or similar technologies.

• Ability to document trade-offs and translate technical insights into practical recommendations.

• Preferred: experience with Fine-Tuning, Transfer Learning, Hugging Face, PyTorch, or TensorFlow.

• Preferred: familiarity with AWS Bedrock Agents / AWS Agent Core.

• Preferred: experience with n8n, Flowise, LangFlow, or comparable technologies.

• Preferred: experience with Prompt Optimization, including DSPy or similar methods.

🏝️ Benefits

• Inclusive environment and people-first culture.

• Commitment to employee well-being.

• Opportunities to balance your career with personal commitments and interests.

• Career development opportunities and professional experiences.

• Great Place To Work™ recognition in 24 countries.

• International Top Employers certification.