Senior Product Software Engineer | RAG | AI

Wolters Kluwer

Irvine, CA

Full Time

Senior

115k-160k

18 days ago

Job Description

About the Role

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

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

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