Job Description:
We are seeking an experienced Senior Generative AI Software Engineer with full-stack expertise in .NET and Python to join our development team. In this role, you will architect, develop, and implement cutting-edge AI-powered solutions that transform how our customers interact with our products. You will be responsible for building production-scale generative AI systems, including RAG architectures, LLM orchestration, and agentic AI applications, while maintaining our high standards for scalable, secure cloud-based solutions. Working in an Agile environment, you'll lead technical innovation while mentoring team members and collaborating with cross-functional partners to deliver AI solutions that create measurable business impact.
Key Responsibilities:
- Design and develop enterprise-scale generative AI applications using .NET Core, C#, Python, and React, ensuring they are secure, performant, and cost-optimized
- Architect and implement sophisticated RAG (Retrieval-Augmented Generation) systems using vector databases and hybrid search strategies
- Build and integrate LLM-powered features using frameworks like LangChain, Semantic Kernel, and custom orchestration solutions
- Create responsive AI-driven user interfaces using React, TypeScript, and modern front-end practices that effectively communicate AI capabilities and limitations
- Develop robust APIs and microservices that expose AI capabilities while implementing proper governance, monitoring, and safety measures
- Lead the evaluation and selection of AI models, balancing performance, cost, and business requirements
- Implement containerized AI applications using Docker and Kubernetes with proper resource management for GPU workloads
- Establish AI governance practices including bias detection, content safety, prompt injection prevention, and compliance requirements
- Mentor team members in both traditional software engineering and emerging AI practices
- Collaborate with product managers and stakeholders to translate business needs into innovative AI solutions
- Monitor AI system performance, implement cost optimization strategies, and ensure reliable production operations
- Stay current with the rapidly evolving GenAI landscape through research, experimentation, and community engagement
Key Requirements:
- 5+ years of experience in full-stack development with expertise in .NET/C# and strong proficiency in Python
- 2+ years hands-on experience building production applications with LLMs (GPT-4, Claude, Gemini, or open-source models)
- Proven experience implementing RAG systems with vector databases (Pinecone, Weaviate, Azure AI Search)
- Strong proficiency in AI/ML frameworks including Hugging Face Transformers, LangChain, LlamaIndex, or similar
- Experience with prompt engineering, model evaluation, and LLM optimization techniques
_Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
_Compensation:
Target salary range CA, CT, CO, DC, HI, IL, MD, MN, NY, RI, WA: $114,750 - $160,450