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Ai Developer Jobs in Edison, NJ (NOW HIRING)

We are seeking a highly skilled and hands-on GenAI / Agentic AI Developer to design, build, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented ...

We are looking for a Senior Microsoft power platform Engineer who is familiar with AI Builder and CoPilots as well as Dynamics and Power Apps The ideal candidate will have experience designing and ...

Govern enterprise security over AI developer tooling and the MCP server approval workflow, and partner with the Enterprise Gen AI, Cloud Infrastructure, GRC, Legal, and Privacy functions to align AI ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in ...

ML/AI Developer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in ...

AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They ...

We are seeking an AI Solution Developer to lead the technical development and deployment of AI use cases that streamline Salesforce administration work and enhance sales effectiveness. This role ...

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Ai Developer information

See Edison, NJ salary details

$41.4K

$133.9K

$164.1K

How much do ai developer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for ai developer in Edison, NJ is $133,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $162,500.00 per year, depending on experience, location, and employer.

What does an AI developer do?

An AI developer designs, builds, and maintains artificial intelligence models and systems, such as machine learning algorithms and neural networks. They often work with programming languages like Python or Java, utilize frameworks like TensorFlow or PyTorch, and require knowledge of data analysis and software engineering to create intelligent applications. Their work involves training models on large datasets and optimizing performance for specific tasks.

What are the key skills and qualifications needed to thrive in the Ai Developer position, and why are they important?

To thrive as an AI Developer, you need a solid understanding of machine learning algorithms, programming languages such as Python or Java, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms, and certifications in AI or data science are common requirements. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills are essential for designing accurate, efficient AI models and collaborating successfully across interdisciplinary teams.

How much do AI devs make?

AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or specific tools like TensorFlow or PyTorch tend to command higher salaries.

What are the typical daily responsibilities of an AI Developer?

AI Developers typically spend their days designing, developing, and testing machine learning models, writing and optimizing code, and collaborating with data scientists and software engineers. They also analyze large data sets, tune algorithms for better performance, and document their processes for reproducibility. Regular tasks may include staying up to date with research in artificial intelligence, integrating AI solutions into existing products, and troubleshooting any issues that arise. This role often involves working in an agile team environment, where effective communication and teamwork are essential.

What engineers make $500,000?

Senior AI developers and machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn $500,000 or more annually, especially in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and typically requires expertise in deep learning, neural networks, and programming languages like Python or TensorFlow.

Do AI developers make money?

AI developers typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may start around $70,000 annually, while experienced professionals can earn over $150,000, especially with skills in machine learning, deep learning, and programming languages like Python. Continuous learning and certifications can also influence earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often found in large tech companies or specialized firms. These roles usually require advanced skills in programming, data analysis, and deep learning, along with significant experience and sometimes advanced degrees or certifications. Compensation at this level often includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.

What does an AI Developer do?

An AI Developer designs, builds, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data science technologies to develop applications such as chatbots, recommendation systems, or automation tools. AI Developers often use programming languages like Python and frameworks like TensorFlow or PyTorch. Their role involves training models, optimizing performance, and deploying AI solutions in real-world environments.

What are the most commonly searched types of Ai Developer jobs in Edison, NJ? The most popular types of Ai Developer jobs in Edison, NJ are:
What are popular job titles related to Ai Developer jobs in Edison, NJ? For Ai Developer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Ai Developer jobs in Edison, NJ look for? The top searched job categories for Ai Developer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Ai Developer jobs? Cities near Edison, NJ with the most Ai Developer job openings:
Infographic showing various Ai Developer job openings in Edison, NJ as of July 2026, with employment types broken down into 70% Full Time, 18% Part Time, 2% Contract, and 10% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $133,908 per year, or $64.4 per hour.
GenAI / Agentic AI Developer

GenAI / Agentic AI Developer

Capgemini

New York, NY • On-site

Full-time

Posted 9 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

84th of 210 rated it services


Job description

Work Authorization
Candidates must be authorized to work in the United States without current or future employer sponsorship.
Visa sponsorship is not available for this position. Candidates requiring sponsorship now or in the future, including H-1B, OPT, CPT, F-1, TN, E-3, L-1, or similar employment-based sponsorship, are not eligible for consideration.
Job Description
We are seeking a highly skilled and hands-on GenAI / Agentic AI Developer to design, build, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.
The ideal candidate will have strong Python development expertise and practical experience implementing GenAI applications, agent orchestration frameworks, vector search technologies, and cloud-native AI solutions. This role requires someone who can move from proof-of-concept to production while ensuring scalability, reliability, security, and business value.
Key Responsibilities
  • Design and develop GenAI solutions using LLMs, RAG, tool calling, and agent-based architectures.
  • Build and orchestrate multi-agent workflows, including planner, retriever, executor, validator, and human-in-the-loop patterns.
  • Develop backend services and APIs using Python, FastAPI, Flask, REST APIs, and microservices.
  • Design and implement document ingestion, embedding generation, vector indexing, reranking, and retrieval pipelines.
  • Integrate AI applications with enterprise systems, APIs, databases, document repositories, and cloud services.
  • Deploy, monitor, and support GenAI applications using Docker, Kubernetes, CI/CD pipelines, and cloud platforms.
  • Implement LLMOps best practices, including model evaluation, prompt management, monitoring, logging, observability, and cost optimization.
  • Collaborate with business and technology stakeholders to deliver scalable AI solutions that generate measurable business outcomes.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.
  • 5+ years of hands-on Python development experience.
  • Experience building and deploying GenAI or Agentic AI applications in enterprise environments.
  • Hands-on experience with one or more of the following:
    • LangGraph
    • LangChain
    • AutoGen
    • CrewAI
    • Semantic Kernel
    • LlamaIndex
  • Strong understanding of:
    • Retrieval-Augmented Generation (RAG)
    • Embeddings
    • Prompt Engineering
    • Semantic Search
    • Vector Databases
  • Experience working with one or more of the following:
    • OpenAI
    • Azure OpenAI
    • AWS Bedrock
    • Anthropic Claude
    • Gemini
    • Llama
    • Mistral
  • Experience with vector platforms such as:
    • OpenSearch
    • Pinecone
    • Chroma
    • FAISS
    • Weaviate
    • Milvus
    • Azure AI Search
    • pgvector
  • Experience developing REST APIs and cloud-native applications.
  • Knowledge of Docker, Kubernetes, CI/CD, and software engineering best practices.
  • Experience working with structured and unstructured data sources, including documents, PDFs, APIs, databases, and knowledge repositories.

Preferred Qualifications
  • Experience designing and deploying multi-agent AI systems.
  • Experience with tool calling, memory management, autonomous planning, reflection, and evaluation techniques.
  • Exposure to:
    • MCP (Model Context Protocol)
    • GraphRAG
    • Neo4j
    • Knowledge Graphs
    • Entity Extraction
  • Experience with LLMOps tools such as:
    • LangSmith
    • MLflow
    • Phoenix
    • Ragas
    • TruLens
    • Arize
    • OpenTelemetry
  • Experience with:
    • Azure AI Foundry
    • Azure OpenAI
    • Azure AI Search
    • AWS Bedrock
    • AWS SageMaker
    • GCP Vertex AI
  • Knowledge of AI governance, responsible AI, AI guardrails, prompt injection prevention, PII masking, and access controls.

Required Candidate Experience
Candidates must be able to clearly explain at least one end-to-end GenAI or Agentic AI implementation, including:
  • Business problem being solved
  • Overall solution architecture
  • LLMs and frameworks leveraged
  • Agent orchestration approach
  • RAG and vector search design
  • Deployment strategy
  • Evaluation and monitoring methodology
  • Business impact and measurable outcomes

For this role, the gross annual starting base salary is 130,000-150,000 (full-time). This covers base pay only; any bonuses, incentives, and benefits will be discussed later in the recruitment process. Candidates with additional experience or qualifications may receive a higher offer, determined by objective, gender-neutral criteria and consistent with our pay principles. If a collective labour agreement applies, we will explain the relevant pay terms at the interview stage. Note: We never ask for your current or previous salary during our hiring process.

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