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Copilot Developer Jobs in New Rochelle, NY (NOW HIRING)

Drunix Solution Inc

AWS Developer

Newark, NJ · On-site

Use AI tools (e.g., Cursor, GitHub Copilot, Claude Code) to rapidly prototype and generate ... Programming Languages: High proficiency in Python and TypeScript/JavaScript (React, Next.js ...

New

The Cypress Group

Full Stack Developer

New York, NY · Hybrid

$110K - $150K/yr

Utilize AI-assisted development tools (such as GitHub Copilot, Claude, Cursor, or similar) to improve software quality and developer productivity. Required Qualifications * Bachelor's degree in ...

Mondo

Software Developer

Manhattan, NY · Remote

$61 - $66/hr

Experience using AI-powered developer productivity tools (e.g., GitHub Copilot, Cursor) * Solid understanding of responsive and accessible UI design principles * Experience working in Agile ...

Mondo

Software Developer

Manhattan, NY · Remote

$61 - $66/hr

Experience using AI-powered developer productivity tools (e.g., GitHub Copilot, Cursor) * Solid understanding of responsive and accessible UI design principles * Experience working in Agile ...

Marencor

Core Java Developer

New York, NY · On-site

Jira, Bit Bucket & Bamboo, CI/CD & DevOps, GitHub Copilot understanding is a plus. * AWS working experience is desired. * Understanding of Securities Finance/Prime Brokerage, preferably with prior ...

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All JobsCopilot Developer JobsCopilot Developer Jobs in New Rochelle, NY

Copilot Developer information

See New Rochelle, NY salary details

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$84

How much do copilot developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for copilot developer in New Rochelle, NY is $54.37, according to ZipRecruiter salary data. Most workers in this role earn between $41.54 and $66.54 per hour, depending on experience, location, and employer.

What is a Copilot Developer?

A Copilot Developer is a software professional who specializes in integrating, customizing, or developing solutions using AI-powered coding assistants, such as GitHub Copilot. Their role often includes enhancing developer workflows by leveraging these AI tools, contributing to codebases, and ensuring that AI-generated code meets quality and security standards. They may also provide feedback to improve Copilot's suggestions and help teams adopt AI-assisted development practices. Copilot Developers often have strong programming skills and a deep understanding of how to effectively collaborate with AI tools.

What are the key skills and qualifications needed to thrive as a Copilot Developer?

To thrive as a Copilot Developer, a strong background in software engineering, proficiency in languages such as Python, JavaScript, or TypeScript, and experience with AI/ML concepts are essential, often supported by a relevant degree. Familiarity with GitHub Copilot, code editors like Visual Studio Code, and cloud platforms such as Azure or AWS is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help developers integrate AI tools into workflows and assist end-users. These skills ensure efficient, innovative solutions and maximize the impact of AI-powered code assistance in software development environments.

What is the difference between Copilot Developer vs AI Software Engineer?

AspectCopilot DeveloperAI Software Engineer
Required CredentialsBachelor's in CS or related, coding skillsBachelor's or higher in CS, AI, or Data Science
Work EnvironmentSoftware development teams, tech companiesResearch labs, tech firms, startups
Industry UsageDeveloping AI-powered coding toolsDesigning and implementing AI models
Search & Comparison IntentFocus on coding automation toolsFocus on AI model development

While both roles involve AI and software development, a Copilot Developer primarily focuses on creating and improving AI coding assistants, whereas an AI Software Engineer designs and implements AI models across various applications. The roles overlap in skills but differ in their core objectives and work environments.

What are some common challenges Copilot Developers face when integrating AI-powered coding assistants into existing development workflows?

Copilot Developers often encounter challenges such as ensuring seamless integration of AI-assisted coding tools with a variety of development environments and version control systems. They must address concerns around code quality, security, and maintaining team coding standards, as AI-generated suggestions may not always align with best practices. Additionally, developers need to foster collaboration and trust within teams, encouraging effective use of Copilot without diminishing peer code reviews or knowledge sharing. Successful Copilot Developers proactively gather feedback from users and iterate on integration strategies to optimize productivity and code reliability.
What job categories do people searching Copilot Developer jobs in New Rochelle, NY look for? The top searched job categories for Copilot Developer jobs in New Rochelle, NY are:
What cities near New Rochelle, NY are hiring for Copilot Developer jobs? Cities near New Rochelle, NY with the most Copilot Developer job openings:
Copilot Developer jobs near you

AWS Developer

Drunix Solution Inc

Newark, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hi,

Greetings of the day!!

AWS + AI-Native Developer profile.

He/she needs to work in hybrid model, at least 2 days from Whippany NJ office.

Job Description:

An AWS + AI-Native Developer (or AI-Native Engineer) experienced to build applications with Artificial Intelligence embedded using AWS Bedrock, 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

  • AWS - Hands on with core services (EC2, EKS, DynamoDB, Lambda, API Gateway, S3)
  • AWS Bedrock
  • 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, Google Cloud Platform, 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.
 
 
 

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