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