AI Developer III

Overview

We are seeking a high-impact Senior AI Developer who combines hands-on GenAI development expertise with deep curiosity and a strong focus on business outcomes. This role centers on building and evolving Retrieval-Augmented Generation (RAG) applications that integrate knowledge from documents, databases, and services to solve real problems across the enterprise. The ideal candidate will have full-stack development experience, with strong proficiency in Python, SQL, and React. Deep familiarity with LLM prompting best practices is expected. They are driven by an instinct to explore-constantly staying attuned to evolving capabilities such as Anthropic's Model Context Protocol (MCP), Gemini, or OpenAI's expanding toolsets and quickly translating that insight into tangible experiments and working features. Success in this role requires close engagement with business partners to extract and shape problems, the ability to mentor and elevate junior developers through shared practices and design patterns, and a strong sense of ownership from prototype through to production. This is a role for someone who thrives in ambiguity, delivers with intent, and believes GenAI can change how people work. A can-do attitude, strong communication skills, and a passion for problem-solving are essential. We view the advancement of AI as critical to enhancing employee experience, improving productivity, and driving business growth across the enterprise.

Responsibilities

What you will do:

• Building the components of RAG-based applications, end-to-end.

• Working in Agile methodology within cloud-based development environments such as Azure or AWS

• Stay actively engaged with the rapidly evolving LLM ecosystem, including models, APIs, orchestration patterns, and frameworks like Anthropic MCP, Hugging Face, LangChain, etc

• Working with technology and business teams to understand business challenges and ways that GenerativeAI can assist

• Building and maintaining enterprise-grade automation with high security, performance, and resiliency

• Demonstrate a strong bias toward delivery, owning outcomes from prototype to production while mentoring and uplifting other developers through best practices and shared tools.

• Performs other duties as assigned.

• Complies with all policies and standards.

Qualifications

• Bachelor's Degree - Required

• Master's Degree - Preferred

• Typically requires five or more years of experience in developing and deploying AI, NLP, or ML software systems - Required

• Advanced understanding of data structures, algorithms, databases - Required

• Expertise in full-stack development, with a strong portfolio of enterprise-grade solutions - Required