AI-Native Developer (AI-Assisted Engineering)

PeopleNTech LLC

  • Santa Clara, CA
  • 21 days ago
  • $130,000–$160,000 Per Year

Highlights

Client Name CLS Bank (Please do not post client name anywhere) Position Title AI-Native Developer (AI-Assisted Engineering) Location 101 Wood Avenue South, Suite 200, Iselin, NJ 08830, USA Employment Type Fulltime Rate $130,000 to $160,000 Per Annum + 5% APB Indent ID SF_OP_202853-2-1 Job ID 176384 Job Description . AI-Native Developer (7–8 year's experience) with 4+ years in AI-assisted development using tools like Copilot, Codex, Cursor, Claude Code.

Numbers & Facts

LocationSanta Clara, CA
Salary$130,000–$160,000 Per Year

Description

Client NameCLS Bank (Please do not post client name anywhere)
Position TitleAI-Native Developer (AI-Assisted Engineering)
Location101 Wood Avenue South, Suite 200, Iselin, NJ 08830, USA
Employment TypeFulltime
Rate $130,000 to $160,000 Per Annum + 5% APB
Indent ID SF_OP_202853-2-1
Job ID176384
Job Description

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 &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 team

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