drjobs Full Stack Engineer (AI Focused)

Full Stack Engineer (AI Focused)

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1 Vacancy
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Job Location drjobs

Herndon, VA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About the Role

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.

What Youll Do

  • 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

Who You Are

  • 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

Qualifications

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

Employment Type

Full Time

Company Industry

About Company

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