AI-Native Developer - Whippany, NJ - 12 + Months

Artech LLC

Whippany, NJ

JOB DETAILS
SALARY
$48–$53 Per Hour
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Automation, Computer Programming, Construction, Debugging Skills, DevOps, Git, GitHub, JavaScript, Kernel Programming, Memory Hardware, Modeling Languages, Node.js, Problem Solving Skills, Programming Languages, Programming Tools, Prototyping, Python Programming/Scripting Language, React.js, Semantic Search, Software Engineering, Testing
LOCATION
Whippany, NJ
POSTED
30+ days ago
Job Title: AI-Native Developer
Job ID:  26-19503
Location: Whippany, NJ
Duration: 12 + Months
 
Job Description:
An AI-Native Developer (or AI-Native Engineer) experienced to build applications with Artificial Intelligence embedded into their core architecture, workflows, and delivery lifecycle from day one, rather than treating AI as a tacked-on feature. Focus mainly on model training, AI-native developers specialize in using AI to write code, leveraging LLMs (Large Language Models), and constructing agentic workflows to accelerate production.

Core Responsibilities

Agentic & LLM System Development: Build autonomous or semi-autonomous agents, orchestrate agent planning loops, manage tool calling, and implement memory modules.
AI-Powered Coding: Use AI tools (e.g., Cursor, GitHub Copilot, Claude Code) to rapidly prototype and generate production-ready code.
RAG Pipeline Construction: Develop Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
API/SDK Integration: Integrate LLMs (OpenAI, Anthropic) into applications using function calling, structured outputs, and workflow automation.
Production Deployment: Take AI prototypes from Proof of Concept (PoC) to deployment using cloud platforms (AWS, GCP, Azure, Vercel).
Required Technical Skills

Programming Languages: High proficiency in Python and TypeScript/JavaScript (React, Next.js, Node.js).
AI Frameworks & Libraries: Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
Vector Databases: Familiarity with technologies such as Pinecone, Chroma, Milvus, or Vertex AI Vector Search.
Development Tools: Hands-on experience with AI coding tools such as Cursor, Claude Code, and GitHub Copilot.
Software Engineering Fundamentals: Strong understanding of Git, debugging, testing, API design, and clean code principles.
Preferred Qualifications

Experience building custom GPTs, Claude Projects, or Multi-agent orchestration.
Understanding of AI governance, security, and "human-in-the-loop" mechanisms.
Experience with DevOps and MLOps tools (MLFlow, Kubeflow).
Key Characteristics

AI-Centric Mindset: Solves problems by blending human judgment with machine intelligence, producing 3–10× more output.
Adaptability: Learns new AI tools faster than the industry can create them.
Product Focus: Focuses on building, optimizing, and deploying AI applications quickly rather than just researching models.

Please apply on our company website (www.artechinfo.com) with reference to job ID, or contact me at Jaya.Nishchhal1@artech.com
 

About the Company

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Artech LLC