AI-Native Developer

AI-Native Developer 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. Note- We are hiring H1 , USC on C2C and GC on W2you can reach me @813-680-1189 / Pavan@cbaseinc.com ASAP this position is immediate one we hire consultants who are local to NJ,NY and PA / who are ready to relocate to client location