AI Developer Jobs in New Jersey
AI Developer jobs in New Jersey are among the most active in the Northeast, with strong demand from the state's pharmaceutical, financial services, and defense technology sectors at every level from entry-level engineer through senior architect. Newark, Princeton, and Edison are the largest hiring hubs, anchored by long-established employers like Johnson and Johnson, Prudential Financial, and Lockheed Martin. The most in-demand specialties are machine learning engineering, natural language processing, and AI-driven data pipeline development. Find a role that fits below and apply directly.
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This is a highly collaborative, stakeholder-facing role requiring the ability to translate business requirements into secure, scalable, and production-ready AI solutions.
Key Responsibilities
- Design and develop enterprise AI/LLM applications, assistants, agents, and intelligent workflows.
- Build scalable and production-ready solutions using Python and modern software engineering practices.
- Develop agentic AI workflows using frameworks such as LangGraph or similar orchestration technologies.
- Implement tool integrations using MCP/FastMCP or comparable protocols and frameworks.
- Build and integrate REST APIs, enterprise systems, databases, and SQL-based solutions.
- Develop RAG (Retrieval-Augmented Generation) solutions using structured and unstructured data sources.
- Design secure data-access patterns incorporating authentication, authorization, and enterprise security requirements.
- Implement AI evaluation, monitoring, tracing, and observability using tools such as LangSmith, Weights & Biases (W&B), OpenTelemetry, or similar platforms.
- Establish mechanisms to evaluate LLM accuracy, reliability, latency, cost, and overall application performance.
- Incorporate Human-in-the-Loop (HITL) processes into AI workflows where appropriate.
- Apply principles of AI governance, responsible AI, privacy, security, and compliance throughout the development lifecycle.
- Collaborate directly with business stakeholders, product teams, architects, and engineering teams to identify opportunities and deliver AI solutions.
- Act as a forward-deployed engineer, working closely with stakeholders to understand problems, prototype solutions, gather feedback, and rapidly iterate.
- Troubleshoot, optimize, and continuously improve AI applications in production environments.
- Contribute to technical documentation, architecture decisions, development standards, and best practices.
- 5–8 years of professional software engineering experience.
- Strong hands-on experience with Python and software development.
- Demonstrated experience building AI/LLM-powered applications in enterprise or production environments.
- Experience developing AI assistants, agents, agentic workflows, or LLM applications.
- Hands-on experience with MCP/FastMCP or similar tool-integration technologies.
- Experience with LangGraph or comparable AI/agent orchestration frameworks.
- Strong understanding of APIs, SQL, databases, and enterprise system integration.
- Experience implementing RAG solutions using structured and/or unstructured data.
- Experience with LLM evaluation, monitoring, tracing, or observability tools such as LangSmith, W&B, OpenTelemetry, or similar.
- Understanding of authentication, authorization, secure data access, and enterprise security practices.
- Strong understanding of AI governance, responsible AI, privacy, security, and Human-in-the-Loop concepts.
- Excellent communication and stakeholder-management skills.
- Ability to work directly with customers/business stakeholders in a forward-deployed engineering capacity.
- Experience working with major LLM platforms and APIs such as OpenAI, Azure OpenAI, Anthropic, or similar.
- Experience with vector databases, embeddings, semantic search, and retrieval pipelines.
- Experience deploying AI applications in cloud environments such as Azure, AWS, or GCP.
- Familiarity with CI/CD, Git, containers, and modern DevOps practices.
- Experience building enterprise-grade AI solutions with strong emphasis on security, scalability, reliability, and governance.
- Experience working in consulting, professional services, or customer-facing engineering environments.
Python | LLMs | Generative AI | AI Agents | AI Assistants | MCP / FastMCP | LangGraph | RAG | APIs | SQL | Databases | LangSmith | W&B | OpenTelemetry | Authentication | Authorization | AI Governance | Responsible AI | HITL | Enterprise Integration
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This is a highly collaborative, stakeholder-facing role requiring the ability to translate business requirements into secure, scalable, and production-ready AI solutions.
Key Responsibilities
- Design and develop enterprise AI/LLM applications, assistants, agents, and intelligent workflows.
- Build scalable and production-ready solutions using Python and modern software engineering practices.
- Develop agentic AI workflows using frameworks such as LangGraph or similar orchestration technologies.
- Implement tool integrations using MCP/FastMCP or comparable protocols and frameworks.
- Build and integrate REST APIs, enterprise systems, databases, and SQL-based solutions.
- Develop RAG (Retrieval-Augmented Generation) solutions using structured and unstructured data sources.
- Design secure data-access patterns incorporating authentication, authorization, and enterprise security requirements.
- Implement AI evaluation, monitoring, tracing, and observability using tools such as LangSmith, Weights & Biases (W&B), OpenTelemetry, or similar platforms.
- Establish mechanisms to evaluate LLM accuracy, reliability, latency, cost, and overall application performance.
- Incorporate Human-in-the-Loop (HITL) processes into AI workflows where appropriate.
- Apply principles of AI governance, responsible AI, privacy, security, and compliance throughout the development lifecycle.
- Collaborate directly with business stakeholders, product teams, architects, and engineering teams to identify opportunities and deliver AI solutions.
- Act as a forward-deployed engineer, working closely with stakeholders to understand problems, prototype solutions, gather feedback, and rapidly iterate.
- Troubleshoot, optimize, and continuously improve AI applications in production environments.
- Contribute to technical documentation, architecture decisions, development standards, and best practices.
- 5–8 years of professional software engineering experience.
- Strong hands-on experience with Python and software development.
- Demonstrated experience building AI/LLM-powered applications in enterprise or production environments.
- Experience developing AI assistants, agents, agentic workflows, or LLM applications.
- Hands-on experience with MCP/FastMCP or similar tool-integration technologies.
- Experience with LangGraph or comparable AI/agent orchestration frameworks.
- Strong understanding of APIs, SQL, databases, and enterprise system integration.
- Experience implementing RAG solutions using structured and/or unstructured data.
- Experience with LLM evaluation, monitoring, tracing, or observability tools such as LangSmith, W&B, OpenTelemetry, or similar.
- Understanding of authentication, authorization, secure data access, and enterprise security practices.
- Strong understanding of AI governance, responsible AI, privacy, security, and Human-in-the-Loop concepts.
- Excellent communication and stakeholder-management skills.
- Ability to work directly with customers/business stakeholders in a forward-deployed engineering capacity.
- Experience working with major LLM platforms and APIs such as OpenAI, Azure OpenAI, Anthropic, or similar.
- Experience with vector databases, embeddings, semantic search, and retrieval pipelines.
- Experience deploying AI applications in cloud environments such as Azure, AWS, or GCP.
- Familiarity with CI/CD, Git, containers, and modern DevOps practices.
- Experience building enterprise-grade AI solutions with strong emphasis on security, scalability, reliability, and governance.
- Experience working in consulting, professional services, or customer-facing engineering environments.
Python | LLMs | Generative AI | AI Agents | AI Assistants | MCP / FastMCP | LangGraph | RAG | APIs | SQL | Databases | LangSmith | W&B | OpenTelemetry | Authentication | Authorization | AI Governance | Responsible AI | HITL | Enterprise Integration
UZg6fca3WX
See All 15 AI Developer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI Developer JobsAI Developer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI Developer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Fintech
- Banking & Financial Services
- Investment & Asset Management
- Consulting & Professional Services
What New Jersey Employers Look For
The qualifications that appear most often in AI developer jobs across New Jersey.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience with machine learning frameworks such as TensorFlow or PyTorch
- Proficiency in Python and familiarity with cloud platforms like AWS, Azure, or Google Cloud
- Experience building and deploying models in production environments at scale
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
- Familiarity with MLOps practices including CI/CD pipelines and model versioning tools
AI Developer Jobs in New Jersey: Frequently Asked Questions
How do you become a ai developer in New Jersey?
Most ai developer roles in New Jersey require at minimum a bachelor's degree in computer science, data science, or a closely related engineering discipline, with many employers preferring a master's degree for senior positions. There is no state-issued license or registration required to work as an ai developer in New Jersey. Building a portfolio of deployed machine learning or AI projects and earning recognized credentials such as AWS Certified Machine Learning Specialty strengthens your candidacy with New Jersey employers.
How much do AI developers make in New Jersey?
AI developers in New Jersey earn a median of about $135,940 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $84,880 for the lowest 10% to over $207,200 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai developers in New Jersey?
Employers hiring ai developers in New Jersey right now include JPMorganChase, Citi, and Asana, based on current listings on Migrate Mate as of September 2026. New Jersey's concentration of pharmaceutical giants, financial services firms, and defense contractors makes it one of the more diverse hiring markets for ai developers in the region.
Which New Jersey cities have the most ai developer jobs?
Jersey City, New Jersey, and Ewing have the most ai developer openings in New Jersey. Newark drives volume through its growing tech and financial services corridor, Princeton draws demand from research-intensive employers in pharma and life sciences, and Edison serves as a suburban hub for mid-size technology firms and corporate AI teams with regional headquarters in Middlesex County.
Are there remote ai developer jobs in New Jersey?
Yes, and more than most fields. About 63% of ai developer openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how well the role translates to distributed work. Model development, research, and data pipeline engineering are the areas most likely to be fully remote, while roles requiring collaboration with on-site lab or production teams tend to follow a hybrid schedule.
How can I get hired as a ai developer in New Jersey with little or no experience?
The most realistic entry path is through a junior machine learning engineer or AI research associate role, which many New Jersey employers post specifically for new graduates. Large pharmaceutical employers like Johnson and Johnson and financial institutions like Prudential run rotational technology programs that include AI and analytics tracks for candidates without professional experience. Building a public portfolio of end-to-end ML projects and earning a cloud provider certification gives you a concrete edge when competing for those associate-level openings.
Where can I find and apply to ai developer jobs in New Jersey?
You can find and apply to ai developer jobs in New Jersey on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your background and location, and apply directly to the employers posting them.
See All 15 AI Developer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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