What are the responsibilities and job description for the Full Stack Engineer (AI Focused) position at NSS?
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
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Build full-stack features across our frontend (React), backend APIs (Node.js/Python), and AI orchestration layer
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Design developer tools, IDE extensions, and sidecar services for human-AI collaboration
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Implement prompt chaining, embedding search, and LLM integration using Amazon Bedrock (Titan, Claude)
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Apply techniques like RLHF and GRPO to fine-tune LLMs and improve agent behavior
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Contribute to a scalable cloud-native architecture using AWS EKS, Postgres, S3, OpenSearch, and Neo4j
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Collaborate across engineering and product to iterate quickly in a fast-paced, mission-driven environment
Who You Are
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You’re a builder with experience across the full stack (React, TypeScript, Node.js, or Python)
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You’re curious about the intersection of AI, developer productivity, and legacy modernization
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You’ve worked with LLMs and prompt engineering, or are eager to learn and experiment
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You have a hacker’s mindset and a product-builder’s instinct
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You thrive in environments where experimentation, ownership, and velocity are key
Qualifications
Required:
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2 years of professional experience in software engineering
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Proficiency with React and either Python or Node.js
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Strong understanding of API design and modern web development practices
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Bachelor's degree in Computer Science or related field (or equivalent experience)
Preferred:
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Experience with Kubernetes (especially AWS EKS)
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Hands-on experience with LLMs, embeddings, or AI/ML pipelines
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Familiarity with cloud infrastructure and distributed systems