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Full Stack Engineer (AI Focused)
Full Stack Engineer (AI Focused)NSS • Herndon, VA, United States
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Full Stack Engineer (AI Focused)

Full Stack Engineer (AI Focused)

NSS • Herndon, VA, United States
30+ days ago
Job type
  • Full-time
Job description

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
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    Ai Engineer • Herndon, VA, United States