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About the Role We're building an AI-native platform designed to transform legacy enterprise systems into modern, cloud-native applications. As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex refactoring challenges in tech today. This is a unique opportunity to join a team that doesn't just integrate with AI - we build with it. What You'll Do Build full-stack features across our frontend (React), backend APIs (Node.js/Python), and AI orchestration layer Design developer tools, IDE extensions, and sidecar services for human-AI collaboration Implement prompt chaining, embedding search, and LLM integration using Amazon Bedrock (Titan, Claude) Apply techniques like RLHF and GRPO to fine-tune LLMs and improve agent behavior Contribute to a scalable cloud-native architecture using AWS EKS, Postgres, S3, OpenSearch, and Neo4j Collaborate across engineering and product to iterate quickly in a fast-paced, mission-driven environment Who You Are You're a builder with experience across the full stack (React, TypeScript, Node.js, or Python) You're curious about the intersection of AI, developer productivity, and legacy modernization You've worked with LLMs and prompt engineering, or are eager to learn and experiment You have a hacker's mindset and a product-builder's instinct You thrive in environments where experimentation, ownership, and velocity are key Qualifications Required: 2+ years of professional experience in software engineering Proficiency with React and either Python or Node.js Strong understanding of API design and modern web development practices Bachelor's degree in Computer Science or related field (or equivalent experience) Preferred: Experience with Kubernetes (especially AWS EKS) Hands-on experience with LLMs, embeddings, or AI/ML pipelines Familiarity with cloud infrastructure and distributed systems #J-18808-Ljbffr