AI Native Developer

CTG is seeking to fill an AI Native Developer position for our client. Location: Whippany, NJ (hybrid remote) Duration: 6 months Job Description 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 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 3–10x 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. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. The expected base salary for this position ranges from $48.00 to $53.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered. #J-18808-Ljbffr