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AI-Native Developer

VeridianTechWoodbridge Township, NJ🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

As an AI-Native Developer at VeridianTech, you'll pioneer the integration of AI tools across the entire software development lifecycle, driving significant productivity gains and shaping the future of development practices. This role is ideal for experienced developers with a passion for AI and a desire to become an AI champion, offering a hybrid work model and opportunities for substantial career growth within a reputable technology company. Embrace this chance to innovate and excel in a forward-thinking environment!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

we are ok for any visa transfer as well Role Summary

AI-Native Developer (7 8 year's experience) with 4+ years in AI-assisted development using tools like Copilot, Codex, Cursor, Claude Code.
Responsible for driving effective adoption of AI tools across the team and SDLC, delivering measurable productivity gains.

Key Responsibilities
  • Use AI tools for coding, testing, documentation, debugging, and optimisation
  • Drive AI adoption across end-to-end SDLC (requirements development testing support)
  • Act as AI champion guide, coach, and support team in effective tool usage
  • Define and enforce AI engineering best practices and guardrails
  • Enable 20% productivity improvement through AI-assisted development
  • Monitor quality of AI-generated outputs (code, test cases, documentation)
Core Skills
  • Strong development experience in:
    • Java
  • Hands-on experience with:
    • GitHub Copilot, Codex, Cursor, Claude Code
  • Strong understanding of:
    • Prompt engineering (zero-shot, few-shot, CoT)
    • SDLC/PDLC processes with AI integration
AI & Advanced Capabilities
  • Experience with:
    • RAG pipelines (data ingestion, chunking, embeddings, retrieval)
    • Agentic AI systems and multi-agent workflows
    • MCP tools and connectors for enterprise integrations
  • Ability to build:
    • Data ingestion pipelines (structured & unstructured)
    • AI-enabled developer workflows integrated with tools like JIRA/Confluence
Key Success Metrics
  • 20% improvement in development productivity
  • Increased AI adoption across teams
  • Improved code quality & reduced defects
Role Focus
  • Hands-on + Enablement role (not purely individual contributor)
  • Drives AI-led engineering transformation within the team

Skills

Confluence
Java
Jira

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