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Were building an AI-native platform designed to transform legacy enterprise systems into modern cloud-native applications. As part of our core product team youll 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 doesnt just integrate with AI we build with it.
Build full-stack features across our frontend (React) backend APIs ( 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
Youre a builder with experience across the full stack (React TypeScript or Python)
Youre curious about the intersection of AI developer productivity and legacy modernization
Youve worked with LLMs and prompt engineering or are eager to learn and experiment
You have a hackers mindset and a product-builders instinct
You thrive in environments where experimentation ownership and velocity are key
Required:
2 years of professional experience in software engineering
Proficiency with React and either Python or
Strong understanding of API design and modern web development practices
Bachelors 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
Full Time