AI Native Developer

Computer Task Group, IncHanover Township, NJ
Hybrid

About The Position

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.

Requirements

  • High proficiency in Python and TypeScript/JavaScript (React, Next.js, Node.js).
  • Experience with LangChain, LangGraph, LlamaIndex, or Semantic Kernel.
  • Familiarity with technologies such as Pinecone, Chroma, Milvus, or Vertex AI Vector Search.
  • Hands-on experience with AI coding tools such as Cursor, Claude Code, and GitHub Copilot.
  • Strong understanding of Git, debugging, testing, API design, and clean code principles.
  • Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

  • 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).

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).

Benefits

  • competitive benefit package
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