About the role:

Our client is making AI a central pillar of its 2025 strategy, backed by strong leadership commitment and high expectations, and is seeking a Lead Software Engineer with experience building and integrating LLMs into enterprise applications.

Why This Role?

This is a brand-new role in a newly formed AI team. The ideal candidate will lead the charge in developing AI-driven applications at an enterprise level, working closely with data scientists and software engineers to bring AI-powered solutions to production. This is an exciting opportunity for someone who is passionate about AI, hands-on in software development, and eager to shape the future of AI.

Responsibilities:

• Lead the engineering and development of AI applications, focusing on NLP and LLM integration.
• Streamline knowledge base ingestion and transformation for unstructured data.
• Design and build agentic AI tools and solutions that align with Rialto’s AI strategy.
• Champion AI adoption and culture across the organization.
• Work closely with data scientists, developers, and leadership to execute AI initiatives.
• Develop, deploy, and maintain enterprise-level APIs infused with AI capabilities.
• Advocate for and implement software engineering best practices within AI development.
• Stay up to date with the latest advancements in LLMs and AI applications.

Requirements:

• Proven experience in enterprise-level application development with AI integration.
• Strong expertise in NLP and LLMs; experience implementing RAG (Retrieval-Augmented Generation) architecture.
• Deep understanding of agentic AI frameworks and how to build AI-driven applications.
• Must be a seasoned software engineer with strong application development experience.
• Experience with Cursor IDE
• Hands-on experience deploying AI solutions in a production environment.
• Strong communication skills, with the ability to advocate for AI solutions to stakeholders.

Preferred Qualifications:

• Experience working with OpenAI Enterprise, Perplexity, Gemini 2.0 Flash, and Azure OpenAI.
• Background in AI-powered product management.
• Familiarity with data engineering pipelines for AI readiness.
• Passion for AI—actively uses AI tools for productivity and stays ahead of industry trends.