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Components Engineer Jobs in New Jersey (NOW HIRING)

2T Consulting

AI/LLM Engineer

Glen Ridge, NJ

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Rochelle Park, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Montclair, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Woodland Park, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Oradell, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Union City, NJ

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

New Milford, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Hackensack, NJ

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Garfield, NJ

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Little Falls, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

River Edge, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Belleville, NJ

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Cresskill, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Englewood, NJ

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Demarest, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Vauxhall, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

West Paterson, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

Maplewood, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

2T Consulting

AI/LLM Engineer

West Orange, NJ · On-site

Build intelligent components capable of reasoning, planning, and autonomous task execution ... Software Engineering * Develop high-quality, scalable, and maintainable Python applications ...

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Showing results 1-20

All JobsComponents Engineer JobsComponents Engineer Jobs in New Jersey

Components Engineer information

See New Jersey salary details

$25

$54

$77

How much do components engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for components engineer in New Jersey is $54.45, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $63.22 per hour, depending on experience, location, and employer.

What is a components engineer?

Components Engineers are professionals who specialize in selecting, evaluating, and managing the parts or components used in manufacturing products, especially in industries like electronics, automotive, and aerospace. They ensure that each component meets technical, safety, and regulatory standards, and work closely with design, procurement, and quality teams. Their responsibilities include researching new parts, maintaining component databases, and resolving issues related to part obsolescence or supply chain disruptions. By optimizing component selection, they help improve product performance, reliability, and cost-effectiveness.

What does a components engineer do?

A components engineer oversees the proper selection of components for an electrical or mechanical assembly, or in the design of a new piece of machinery. As a components engineer, your responsibilities include testing and installing these components to ensure they are of the highest quality before utilizing them in a project. Other duties include identifying the best suppliers for each component and maintaining a library of parts for each project or equipment. A components engineer can work in a variety of industries.

What are the key skills and qualifications needed to thrive as a components engineer, and why are they important?

To thrive as a Components Engineer, you need a strong understanding of electronic components, engineering principles, and materials science, typically supported by a degree in electrical or electronics engineering. Familiarity with component selection tools, CAD software, and industry standards like IPC or RoHS compliance is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with design teams and suppliers. These skills ensure the reliability, compliance, and efficiency of products in fast-evolving technology markets.

What are some common challenges components engineers face when sourcing and qualifying new parts?

Components Engineers often encounter challenges such as long lead times, part obsolescence, and ensuring compliance with industry standards. They must carefully evaluate suppliers' reliability and the technical specifications of new components to prevent compatibility or quality issues down the line. Additionally, staying updated on evolving regulations and coordinating with design, procurement, and manufacturing teams are essential to avoid costly delays and ensure smooth integration of components.

What is the difference between Components Engineer vs Electrical Engineer?

AspectComponents EngineerElectrical Engineer
Required CredentialsBachelor's in Electrical, Electronics, or related field; certifications like IPC or IPC-A-610Bachelor's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentDesign, testing, and selection of electronic components; collaboration with manufacturingDesign, analyze, and develop electrical systems; testing and troubleshooting
Employer & Industry UsageElectronics manufacturing, aerospace, automotive, consumer electronicsPower systems, telecommunications, automation, electronics

Components Engineers focus on selecting, testing, and ensuring the quality of electronic components used in products, while Electrical Engineers design and develop electrical systems and circuits. Both roles require similar educational backgrounds and certifications, but their daily tasks and industry applications differ.

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What job categories do people searching Components Engineer jobs in New Jersey look for?

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Components Engineer jobs near you
Infographic showing various Components Engineer job openings in New Jersey as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $113,252 per year, or $54.4 per hour.

AI/LLM Engineer

2T Consulting

Glen Ridge, NJ

Full-time

Posted 6 days ago

Job description

We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms.

Roles and Responsibilities

Agent & AI System Development

  • Design and develop AI agent systems using LangChain, LangGraph, or similar frameworks.
  • Build intelligent components capable of reasoning, planning, and autonomous task execution.
  • Implement agentic patterns such as ReAct (Reasoning + Acting).
  • Develop multi-step LLM workflows and agent orchestration.

LLM Capabilities & Enhancements

  • Implement memory, tool usage, context management, and MCP capabilities.
  • Develop solutions using tool calling, chaining, and workflow orchestration.
  • Work with prompt engineering teams to improve LLM response quality and performance.
  • Optimize LLM applications for scalability, reliability, and cost.

Software Engineering

  • Develop high-quality, scalable, and maintainable Python applications, including asynchronous programming.
  • Build and maintain APIs and microservices for AI and agent-based applications.
  • Integrate AI services with enterprise applications and backend systems.
  • Develop production-ready solutions with appropriate testing, monitoring, and error handling.

Guardrails & Responsible AI

  • Design and implement guardrails and safety mechanisms for LLM-powered applications.
  • Handle edge cases, failures, hallucinations, and unintended model outputs.
  • Implement appropriate validation, security, and access controls for AI systems.

Data & Platform Integration

  • Integrate AI solutions with modern data platforms, including Snowflake and Databricks.
  • Work with Lakehouse architectures and enterprise data pipelines.
  • Enable LLM applications to securely access and leverage enterprise data.
  • Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.
Required Technical Skills
  • 5+ years of experience in software engineering, AI/ML engineering, or a related field.
  • Strong hands-on experience with Python and asynchronous programming.
  • Experience building LLM and generative AI applications.
  • Strong experience with LangChain, LangGraph, or similar agent frameworks.
  • Understanding of AI agents, ReAct, tool calling, memory, context management, and MCP.
  • Experience developing REST APIs and microservices.
  • Experience integrating AI applications with Snowflake, Databricks, or Lakehouse platforms.
  • Strong understanding of scalable, production-ready software architectures.
  • Knowledge of LLM guardrails, responsible AI, security, and failure handling.
  • Strong problem-solving, communication, and collaboration skills.
Preferred Skills
  • Experience with multi-agent systems and agent orchestration.
  • Knowledge of vector databases and RAG architectures.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with LLM observability, evaluation, and performance optimization.
  • Experience deploying AI applications in enterprise production environments.

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