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Release Engineer

IntellykWoodbridge Township, NJ🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This role offers a unique opportunity to pioneer AI-assisted development, driving significant productivity gains and shaping the future of engineering practices within a reputable company. If you are a seasoned developer with a passion for AI tools like Copilot and are adept at prompt engineering, you will thrive in this hybrid position. Embrace this chance to innovate and grow your AI expertise.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Position Title: AI-Native Developer (AI-Assisted Engineering)

Location: 101 Wood Avenue South, Suite 200, Iselin, NJ 08830, USA

Employment Type: Full time

Job Description

 

Role Summary

  • AI-Native Developer (7–8 years'' 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 &Client;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

  • &Client;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 tea

Skills

Confluence
Jira

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