AI-Native Developer

Hybrid in Woodbridge Township, NJ, US • Posted 18 hours ago • Updated 18 hours ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI-Native

Summary

Hi,

Our client is looking for AI-Native Developer in Iselin, NJ below is the detailed requirement.

Job Title: AI-Native Developer

Location: Iselin, NJ

Job Description:

  • Bachelor’s degree in related field.
  • AI Native Engineering.
  • 7–12+ years of overall software engineering experience.
  • 3–5+ years in AI/ML engineering with at least 2 years in Generative AI and Agentic AI in production.
  • Java — Enterprise applications, Spring Boot, microservices, AI SDK integration.
  • C++ — Systems-level development, AI inference engine integration (ONNX, TensorRT, llama.cpp).
  • Python — LLM orchestration (LangChain, LangGraph, AutoGen), data pipelines, FastAPI.
  • Production experience with end-to-end AI-powered business applications.
  • Proven expertise in Agentic AI architectures — tool-use, memory management, multi-agent orchestration, and human-in-the-loop workflows.
  • Hands-on across AI SDLC use cases — AI-driven code review, automated test generation, intelligent QA pipelines, and AI-powered requirements analysis.
  • Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or open-source equivalents), RAG pipelines, vector databases, and embedding strategies.
  • Solid experience in traditional application security — OWASP Top 10, secure coding, SAST/DAST, API security, and threat modeling.
  • Hands-on with AI-specific security risks — prompt injection, RAG poisoning, model data leakage, and adversarial inputs.
  • Familiarity with OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Lead Automation Transformation & Provide Visibility to Business Segment & Leadership.

Nice to Have:

  • AI integration with enterprise platforms (ERP, CRM, DevSecOps toolchains).
  • LLM observability and evaluation (RAGAS, DeepEval, Promptfoo).
  • AI governance, responsible AI, and explainability in enterprise contexts.
  • Open-source contributions or published technical content.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10120137
  • Position Id: 71851-10367-1790781520
  • Posted 18 hours ago
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