Senior Staff Engineer - Full Stack Engineer - Remote

Overview

Are you a seasoned technical leader who thrives at the intersection of AI innovation and enterprise impact? Do you excel in architecting scalable AI systems while mentoring teams to push the limits of what's possible with large language models (LLMs)? Are you passionate about delivering transformative solutions using cutting-edge AI paradigms like Retrieval Augmented Generation (RAG), AI Agents, and custom model fine-tuning? If so, we invite you to apply to join our forward-thinking AI Platform Team.

In Short

• Lead the design and delivery of next-generation AI capabilities, including integrating LLMs, RAG workflows, and AI Agents into Ridgeline’s platform.
• Define and execute the AI strategy, collaborating with product and engineering leaders to identify high-value opportunities.
• Architect scalable, robust AI pipelines that can operate seamlessly in cloud-based production environments.
• Research and implement state-of-the-art AI models and algorithms, ensuring Ridgeline maintains a competitive advantage.
• Mentor engineers across the organization, fostering technical growth and advancing a culture of innovation.
• Collaborate with cross-functional teams to deliver end-to-end AI-driven solutions, aligned with customer needs and business goals.
• Establish best practices for AI development, ensuring performance, reliability, and ethical AI standards.
• Stay ahead of AI advancements and evaluate their applicability to Ridgeline’s platform, sharing insights to keep our team at the forefront of AI innovation.

Requirements

• 10+ years of software engineering experience, with at least 5 years focused on AI/ML development.
• Proven track record of architecting and deploying machine learning systems, particularly LLMs, in production environments.
• Deep expertise in AI Agent frameworks, Retrieval Augmented Generation (RAG), and fine-tuning of large models.
• Exceptional programming skills in Python and familiarity with languages like Kotlin or Java.
• Strong knowledge of cloud platforms (AWS preferred) and distributed systems.
• Demonstrated ability to lead and mentor engineers, driving technical excellence across teams.
• Strong communication and collaboration skills to navigate complex projects and deliver impactful solutions.

Benefits

• Unlimited vacation.
• Educational and wellness reimbursements.
• $0 cost employee insurance plans.
• Opportunities for advancement in your career.
• Participation in the Company Stock Plan.