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Copilot Developer Jobs in New Jersey (NOW HIRING)

Techvilla Solutions

Senior AWS Python Developer

Hoboken, NJ · On-site

$132K - $178K/yr

Utilize AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot to improve engineering productivity. * Support deployment and management of applications in Kubernetes ...

Intellyk

Release Engineer

Woodbridge, NJ · On-site

AI-Native Developer (7-8 years'' experience) with 4+ years in AI-assisted development using tools like Copilot, Codex, Cursor, Claude Code. * Responsible for driving effective adoption of AI tools ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

Experience with AI developer assist tools such as GitHub Copilot. * Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy. * Hands-on experience with AWS or other cloud ...

Valley Bank

Sr. Full-Stack Developer

Morristown, NJ · On-site

Proven experience using Cursor, Claude, or GitHub Copilot to support the full development lifecycle ... Demonstrated application of thoughtful prompt engineering and structured interaction patterns to ...

Azenta

Software Developer

South Plainfield, NJ · On-site

Software Developer Location: South Plainfield, NJ Schedule : M-F 9am-5pm Company Overview At ... Familiarity with AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor, or similar) for ...

Azenta

Software Developer

South Plainfield, NJ

Software Developer Location: South Plainfield, NJ Schedule : M-F 9am-5pm Company Overview At ... Familiarity with AI-assisted coding tools (GitHub Copilot, ChatGPT, Cursor, or similar) for ...

Monitise

Senior AI Solutions Engineer

Berkeley Heights, NJ · On-site

$128K - $216K/yr

Job Title Senior AI Solutions Engineer About the role As a Senior AI Solutions Engineer, you will ... You will design and build production agents against both the Microsoft 365 Copilot/Copilot Studio ...

Technogen, Inc.

Prompt Engineer

Jersey City, NJ · On-site

Prompt Engineer Location: Jersey City, NJ (4 days onsite per week and a F2F interview at the client ... Reusable prompt patterns should be suitable for AIRP and, where applicable, Copilot Studio / Power ...

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Copilot Developer information

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 are popular job titles related to Copilot Developer jobs in New Jersey? For Copilot Developer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Copilot Developer jobs in New Jersey look for? The top searched job categories for Copilot Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Copilot Developer jobs? Cities in New Jersey with the most Copilot Developer job openings:
Copilot Developer jobs near you
Infographic showing various Copilot Developer job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior AWS Python Developer

Techvilla Solutions

Fairview, NJ • On-site

$135K - $182K/yr

Full-time

Posted 5 days ago

Job description

Roles and Responsibilities
  • Design, develop, and maintain scalable, highly available, and high-performance software systems.
  • Write clean, efficient, well-tested, and reusable Python code following software engineering best practices.
  • Develop and maintain cloud-native applications using AWS services and serverless architectures.
  • Build and support event-driven architectures using message queues, topics, and asynchronous processing patterns.
  • Design and optimize NoSQL database solutions, including DynamoDB, and work with relational databases such as MSSQL and PostgreSQL.
  • Develop serverless applications using AWS Lambda, ECS, and AWS Step Functions.
  • Implement software design patterns and architecture best practices to create maintainable solutions.
  • Follow best practices for source control, automated testing, CI/CD pipelines, and deployment processes.
  • Define, package, and deploy cloud infrastructure using AWS CDK.
  • Collaborate with cross-functional teams to deliver high-quality solutions and meet project objectives.
  • Manage project priorities, timelines, and deliverables while contributing to team meetings and technical discussions.
  • Create technical documentation to support knowledge sharing and team collaboration.
  • Utilize AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot to improve engineering productivity.
  • Support deployment and management of applications in Kubernetes environments.
Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
  • 3+ years of professional experience developing production applications using Python.
  • Strong experience with AWS cloud services and cloud-native application development.
  • Experience designing and developing solutions using NoSQL databases (DynamoDB).
  • Experience with relational databases such as MSSQL and PostgreSQL is preferred.
  • Hands-on experience building serverless applications using AWS Lambda, ECS, and Step Functions.
  • Strong understanding of event-driven architecture, messaging systems, and distributed application design.
  • Experience with Git, unit testing, test-driven development (TDD), and CI/CD practices.
  • Knowledge of Kubernetes deployment and cloud infrastructure management preferred.
  • Experience with AWS CDK and infrastructure-as-code practices preferred.
  • Familiarity with AI application development using platforms such as AWS Bedrock, Vertex AI, or Azure AI preferred.
  • Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or TensorFlow preferred.
  • Familiarity with Agile development methodologies, including stand-ups, sprint planning, estimation, and demos.
  • Strong written and verbal communication skills.
  • Experience with media file formats, video engineering, or media processing systems is a plus.

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