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) strategies.
- 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 (if you haven't heard of Cursor, this role is not a fit).
- 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.