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Learning Ai Jobs in Edison, NJ (NOW HIRING)

SGF Global

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Machine Learning / AI Contractor

New York, NY · On-site

$67 - $70/hr

Senior AI Engineer -- Agentic Systems Job Title: Senior AI Engineer -- Agentic Systems Level ... Working knowledge of PyTorch and machine learning/model fundamentals. * Experience with LLM ...

New

Rowspace

Applied AI Engineer

Manhattan, NY · On-site

Required : • 3+ years of experience in machine learning, AI research, or applied AI engineering • Strong background in LLMs, RAG systems, and agentic AI workflows • Experience designing ...

Rowspace

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

... learning, AI research, or applied AI engineering * Strong background in LLMs, RAG systems, and ... agentic AI workflows * Experience designing evaluation frameworks and benchmarks for AI systems

Rowspace

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

... learning, AI research, or applied AI engineering * Strong background in LLMs, RAG systems, and ... agentic AI workflows * Experience designing evaluation frameworks and benchmarks for AI systems

Berkadia

Product Manager - AI

New York, NY · Hybrid

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product ...

Berkadia

Product Manager - AI

New York, NY · On-site

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product ...

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All JobsLearning Ai JobsLearning Ai Jobs in Edison, NJ

Learning Ai information

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$27

$42

$71

How much do learning ai jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for learning ai in Edison, NJ is $42.13, according to ZipRecruiter salary data. Most workers in this role earn between $30.62 and $54.76 per hour, depending on experience, location, and employer.

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build skills and demonstrate expertise to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Learning Ai jobs in Edison, NJ?

For Learning Ai jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Learning Ai jobs in Edison, NJ look for?

The top searched job categories for Learning Ai jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Learning Ai jobs?

Cities near Edison, NJ with the most Learning Ai job openings:

Learning Ai jobs near you

Machine Learning / AI Contractor

SGF Global

New York, NY • On-site

$67 - $70/hr

Other

Posted 2 days ago

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Job description

Senior AI Engineer — Agentic Systems

Job Title: Senior AI Engineer — Agentic Systems
Level: Senior Engineer / VP-Equivalent
Location: New York, NY 10020 – Onsite
Address: 1221 Avenue of the Americas, New York, NY 10020
Duration: 12-Month Contract, with possible extension
Employment Type: W2
Team: Customer-Facing AI Agents

About the Role

We are seeking a highly experienced Senior AI Engineer — Agentic Systems to join a senior engineering team building production-grade AI agents for customer-facing applications at enterprise scale.

This role is focused on developing and deploying LLM-powered agentic systems capable of handling multi-turn conversations, tool calling, retrieval, escalation, and human handoff. The ideal candidate will have proven experience taking AI agents from architecture and development through production deployment, evaluation, optimization, and ongoing improvement.

This is not a chatbot or proof-of-concept role. The successful candidate must have hands-on experience delivering reliable, scalable, and secure agentic AI systems in production environments.

Key Responsibilities

  • Design, develop, and deploy production-grade LLM-based agentic workflows for customer-facing applications.
  • Build multi-turn conversational agents supporting tool calling, retrieval, escalation, and human handoff.
  • Own agent orchestration using LangGraph, LangChain, or equivalent agent frameworks.
  • Design state management, workflow orchestration, guardrails, failure recovery, and human-in-the-loop capabilities.
  • Integrate AI agents with existing Java/Spring Boot microservices, APIs, and event-driven systems.
  • Develop and maintain RAG pipelines, prompt/context engineering, embeddings, retrieval, and tool/function calling capabilities.
  • Build and optimize LLM evaluation frameworks, including automated evaluations, regression testing, trace analysis, and A/B testing.
  • Work with LLM inference and serving technologies including vLLM or comparable platforms.
  • Integrate commercial LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI.
  • Use PyTorch and model fundamentals to fine-tune models, debug model behavior, and evaluate model tradeoffs.
  • Design scalable distributed systems using APIs, queues, caching, observability, and CI/CD.
  • Implement AI safety and governance practices including PII protection, auditability, guardrails, deterministic fallbacks, and observability.
  • Monitor production agent performance, troubleshoot failures, and continuously improve reliability, latency, and response quality.
  • Collaborate with software engineers, architects, product teams, security teams, and business stakeholders.
  • Maintain high standards for code quality, testing, documentation, security, and production readiness.

Required Qualifications

  • 7+ years of software engineering experience with senior or lead-level ownership of production systems.
  • Proven hands-on experience building and deploying LLM-based agentic systems into production.
  • Strong proficiency in Python as a primary AI/ML development language.
  • Strong experience with Java, preferably Java/Spring/Spring Boot.
  • Hands-on experience with LangChain, LangGraph, or equivalent agent orchestration frameworks.
  • Strong knowledge of:
    • LLM application development
    • Agent orchestration
    • Prompt engineering
    • Context engineering
    • Tool/function calling
    • Retrieval-Augmented Generation (RAG)
  • Working knowledge of PyTorch and machine learning/model fundamentals.
  • Experience with LLM inference and serving, including vLLM, TGI, TensorRT-LLM, or comparable technologies.
  • Experience with commercial LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI.
  • Strong understanding of distributed systems, APIs, queues, caching, observability, and CI/CD.
  • Experience building reliable, scalable, secure, and production-ready software systems.
  • Strong troubleshooting, analytical, communication, and problem-solving skills.

Company Description

Who We Are
SGF Global is an integrated talent solutions provider, offering staffing, recruitment, Employer of Record (EOR), nearshore, and consulting services across a wide range of industries in 35 countries. We're a dynamic, people-first organization where fresh ideas are always welcome. Our culture is built on collaboration, innovation, and a genuine passion for helping people grow. At SGF Global, smiles are part of the dress code, and every voice matters.

Are you looking to join an organization where your ideas are valued, your growth is supported, and your work makes a global impact?

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