Generative AI Engineer

This is an opportunity to join a team that is still early enough to have a meaningful impact, but established enough that you'll be working on production systems rather than experiments. The person hired will have significant input into architecture decisions, help shape engineering standards, and play a key role in the continued growth of the AI platform. If you're an experienced AI engineer who enjoys building, mentoring, and solving complex technical problems, we'd welcome the opportunity to speak with you. Employee testimonials: Great company. Fun and challenging environment! Enjoyed atmosphere. Felt appreciated. Would certainly recommend! A rewarding and flexible work environment that encourages innovation and creativity in providing solutions for the business analytics challenges! Great culture, excellent management team, lots of opportunity for growth Great place to work that values its employees and their employees’ opinions. Does a great job at providing the organizations vision to employees. Title: Senior AI Engineer Salary: $150,000 – 175,000 +Bonus Location: Remote We're looking for a Senior AI Engineer to join a growing AI team that is building and expanding enterprise AI solutions used across multiple business units throughout North America. You'll spend time designing solutions, writing code, reviewing architecture, mentoring engineers, and helping drive the direction of the AI platform. If you're looking for a position where you can still be deeply involved in engineering while taking on more leadership and architectural responsibility, this could be a great fit. The team is building AI-powered applications, intelligent automation solutions, RAG-based systems, agentic workflows, and integrations with enterprise platforms. The work is real, production-focused, and highly visible within the organization. What You'll Be Working On Designing and building AI solutions that solve business problems at scale Developing RAG pipelines, AI assistants, and agent-based applications Integrating LLMs with internal systems and business applications Building APIs and backend services using Python and FastAPI Working within Microsoft Azure to deploy, secure, and manage AI solutions Helping establish engineering standards, code quality practices, and architectural guidelines Reviewing code and mentoring other developers on the team Partnering with business and technical stakeholders to evaluate new use cases and solutions What We're Looking For 6+ years of software engineering experience 3+ years working with AI, machine learning, or enterprise AI solutions Strong Python development experience Experience building and deploying AI applications in Azure Experience with RAG architectures, vector search, and LLM integrations Experience with LangChain, LangGraph, or similar agent frameworks Ability to lead technical discussions and guide other engineers Strong understanding of architecture, scalability, security, and maintainability Nice to Have / Learning Opportunity Experience with MCP (Model Context Protocol) Node.js experience CI/CD and Infrastructure-as-Code experience Experience integrating with enterprise platforms such as SAP, SharePoint, or Confluence Show more Show less