Senior AI Engineer

Referral Details We greatly appreciate your referral, and we look forward to reviewing the qualifications of the candidate you've recommended. Here's a brief overview of the process: After you've completed this referral form, your recommended candidate will be directed to apply for the specific role through our website. This step is crucial for Wipfli to remain compliant with federal laws and to ensure a fair and transparent selection process. Once their application is received, our Talent Acquisition team will evaluate their qualifications, including how well they align with the requirements of the role and the broader needs of our organization. Your referred candidate will remain in our candidate database for future opportunities, offering them additional chances to become part of our team. As the referrer, your role in the recruitment process is to bring potential talent to our attention. We ask that you refrain from discussing updates on the candidate's status, out of respect for their personal consideration. Our Talent Acquisition team will provide you with a final update once the candidate has been informed of their application status. Throughout this process, we may reach out to you with questions or additional information to ensure a seamless and effective referral experience. Thank you for your invaluable contribution to our recruitment efforts, and we sincerely appreciate your understanding and support throughout this process. If you would like to read more about referral bonus eligibility, please visit InSite: Responsibilities Responsibilities: - Design, develop, and optimize full‑stack applications using RAG for high‑accuracy retrieval and generation - Build and maintain APIs and microservices with monitoring and logging for reliability and performance - Implement vector databases and semantic search; fine‑tune retrieval for strong precision and recall - Optimize chunking, embeddings, and retrieval parameters tailored to professional services content - Evaluate LLM architectures and maintain prompt‑engineering frameworks to improve response quality - Build ETL pipelines and integrate with firm platforms such as document management, CRM, and engagement systems - Ensure data quality, security, and compliance, including role‑based access, encryption, audit logging, and confidentiality - Partner across teams—engagement, data science, and ML—to deliver capabilities and mentor junior engineers - Stay current on emerging AI/ML technologies and assess applicability to enterprise use cases Knowledge, Skills and Abilities Required Qualifications: - Bachelor's degree in Computer Science, Information Management, Data Science, or AI related field - 3-5 years of experience in data science and AI roles - 7-10 years of experience software development roles - Demonstrated track record of building production-grade AI applications from conception to deployment - Demonstrated deep understanding of RAG methodologies and practical application. Experience with frameworks such as LangChain, LlamaIndex, or Haystack is considered an additional asset - Experience with document processing and OCR technologies, including integration and deployment within enterprise environments Preferred Qualifications: - Master's degree or advanced certification in Data Science or AI - 4+ years of full stack development experience with modern frameworks (React, Vue, or Angular; Node.js, Python, or similar; .NET experience Benjamin Dzanic, from our recruiting team, will be guiding you through this process. Visit his LinkedIn page to connect! Additional Details Additional Details: Wipfli is an equal opportunity/affirmative action employer. All candidates will receive consideration for employment without regards to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identify, veteran status, disability, or any other characteristics protected by federal, state, or local laws. Wipfli is committed to providing rea