AI Software Developer Jobs in New Jersey
AI Software Developer jobs in New Jersey are among the most active in the Northeast, with strong demand concentrated in fintech, pharmaceuticals, defense technology, and enterprise software at every level from junior engineer through principal architect. The densest hiring is in Jersey City, Princeton, and Parsippany, where established employers such as Johnson & Johnson, Cognizant, and Prudential Financial have built lasting AI and data engineering teams. The most in-demand specialties right now are machine learning engineering, large language model integration, and MLOps. Find a role that fits below and apply directly.
Find AI Software Developer JobsOverview
Showing 5 of 41+ AI Software Developer jobs











This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.
We’re looking for a Principal AI-Native Software Engineer who can turn complex business needs into intelligent, production-ready software.
You’ll work at the intersection of software engineering, agentic AI, LLM-powered applications, and enterprise automation, partnering directly with business and technical stakeholders to move ideas rapidly from concept to production. You’ll build scalable Python services, APIs, agentic workflows, and integrations that enable intelligent automation across AT&T.
This is not simply an AI experimentation role. We’re looking for an engineer who knows how to combine emerging AI capabilities with proven software engineering practices to deliver solutions that are secure, reliable, observable, maintainable, and built for production.
What You'll Do:
- Design and build production-grade AI-enabled applications, backend services, and REST APIs using Python and frameworks such as FastAPI, Flask, or Django.
- Create agentic AI workflows using LangGraph or similar frameworks, including tool calling, routing, planning and execution, multi-step workflows, and human-in-the-loop patterns.
- Partner directly with business and technical stakeholders in a collaborative 2-in-a-box model, translating ambiguous business challenges into technical designs and working solutions.
- Integrate AI applications securely with enterprise APIs, databases, event streams, service gateways, and other internal platforms.
- Design reliable tool and service contracts for AI agents, including schemas, validation, idempotency, retries, rate limits, error handling, and access controls.
- Develop evaluation strategies for AI and agentic systems, including success criteria, regression testing, prompt/tool validation, guardrails, and release gates.
- Implement RAG, vector search, context engineering, structured outputs, and grounding techniques when appropriate to improve accuracy and usability.
- Build end-to-end solutions across backend services, databases, and front-end experiences using technologies such as Angular and other modern web frameworks.
- Apply secure-by-design practices including authentication, authorization, secrets management, least privilege, auditability, input validation, and PII-aware data handling.
- Build production observability with logging, metrics, distributed tracing, dashboards, alerting, and incident troubleshooting.
- Implement automated testing, CI/CD, Docker-based deployment, and resilient distributed-system patterns including retries, timeouts, circuit breakers, backpressure, and graceful degradation.
- Use AI coding assistants throughout the engineering lifecycle for code generation, refactoring, testing, debugging, and documentation while maintaining rigorous engineering standards.
What You'll Bring:
- A builder mindset with the ability to move quickly from an ambiguous business problem to a working technical solution.
- Strong understanding of AI-native software development, including how and where LLMs and agentic workflows provide meaningful value.
- Hands-on experience developing applications that use LLMs, structured prompting, function/tool calling, output validation, and grounding.
- Ability to build agentic solutions that go beyond simple chat interfaces and execute multi-step workflows, use tools, interact with systems, and manage state.
- Strong knowledge of software architecture, system design, API design, data modeling, distributed systems, and integration patterns.
- Experience designing software for production realities including security, scalability, resiliency, observability, maintainability, and operational support.
- Strong communication skills and the ability to explain technical decisions and tradeoffs to both engineering and non-technical business partners.
- An AI-augmented engineering approach, using modern AI development tools to accelerate delivery without sacrificing software quality.
What You'll Need:
8+ years of professional software engineering experience building and delivering production applications or services.
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, a related technical discipline, or equivalent practical experience.
- Strong Python development experience, ideally with FastAPI, Flask, or Django.
- Hands-on experience designing and developing REST APIs and backend/microservice architectures.
- Experience integrating applications with enterprise platforms, databases, APIs, or distributed systems.
- Strong knowledge of SQL and relational databases; NoSQL/document database experience is beneficial.
- Experience with unit testing, integration testing, automated testing, CI/CD, code review, and refactoring.
- Experience with Docker and deployment into cloud or enterprise environments.
- Working knowledge of production monitoring using structured logging, metrics, tracing, performance analysis, and incident troubleshooting.
- Understanding of secure API development, authentication/authorization, secrets management, least privilege, and audit logging.
- Hands-on experience integrating LLMs or Generative AI capabilities into software applications.
- Experience with tool/function calling, structured prompting, output validation, RAG, retrieval, or other grounding techniques.
- Demonstrated use of AI coding assistants as part of the software development lifecycle.
Preferred Qualifications:
- Hands-on experience with LangGraph or comparable agent orchestration frameworks.
- Experience designing multi-agent or multi-step agentic workflows.
- Experience with Temporal, Celery, Airflow, or other workflow/orchestration technologies.
- Knowledge of event-driven architectures using Kafka, SNS/SQS, Pub/Sub, or comparable technologies.
- Experience implementing RAG, embeddings, semantic/vector search, and vector databases in production environments.
- Experience with OAuth 2.0, OIDC, API gateways, or service mesh technologies.
- Experience developing reusable SDKs, internal developer platforms, AI tool libraries, or reference architectures.
- Experience with Angular or another modern JavaScript/TypeScript front-end framework.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
Weekly Hours:
40Time Type:
RegularLocation:
Alpharetta, Georgia, Atlanta, Georgia, Bothell, Washington, Dallas, Texas, Middletown, New Jersey, Plano, TexasSalary Range:
$155,400.00 - $261,100.00
AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
See All 41 AI Software Developer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI Software Developer JobsAI Software Developer Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
AI Software Developer Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
- JPMorganChase28

- Freedom Mortgage2

- Amazon Web Services2

- AT&T1

- WebMD1

Top Industries Hiring
- Banking & Financial Services
- Fintech
- Investment & Asset Management
What New Jersey Employers Look For
The qualifications that appear most often in AI software developer jobs across New Jersey.
- Bachelor's or master's degree in computer science, AI, or a closely related field
- Proficiency in Python and at least one major ML framework such as TensorFlow or PyTorch
- Experience designing and deploying machine learning models in production environments
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Strong understanding of data pipelines, feature engineering, and model evaluation techniques
- Experience working in agile teams with version control systems such as Git
AI Software Developer Jobs in New Jersey: Frequently Asked Questions
How do you become a ai software developer in New Jersey?
AI software developer roles in New Jersey do not require a state-issued license, so the path runs through education and demonstrated technical skills. Most employers expect at least a bachelor's degree in computer science, data science, or a related field, with a master's degree preferred for research-oriented positions. Building a portfolio of ML projects, contributing to open-source repositories, and earning cloud certifications from AWS or Google strengthen a New Jersey application considerably.
How much do AI software developers make in New Jersey?
AI software 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 software developers in New Jersey?
Employers hiring ai software developers in New Jersey right now include JPMorganChase, Freedom Mortgage, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of pharmaceutical giants, global financial services firms, and defense contractors means demand for applied AI talent runs deep across multiple industries in the state.
Which New Jersey cities have the most ai software developer jobs?
The cities with the most ai software developer openings in New Jersey are Jersey City, Marlton, and New Jersey. Jersey City's proximity to New York's financial district drives heavy fintech and enterprise AI demand, while Princeton anchors a research-heavy corridor tied to pharmaceutical R&D and university spin-outs, and Parsippany draws hiring from large corporate headquarters concentrated in Morris County.
Are there remote ai software developer jobs in New Jersey?
Yes, and more than most fields. About 57% of ai software developer openings tied to New Jersey are remote or hybrid as of November 2026, reflecting how naturally the work translates to distributed teams. Model development, data pipeline work, and research roles are the most likely to be fully remote, while on-site presence is more common for roles tied to proprietary infrastructure or regulated environments.
How can I get hired as a ai software developer in New Jersey with little or no experience?
The most realistic entry path is through a machine learning engineer associate or junior data scientist role, which large New Jersey employers such as Prudential Financial and Johnson & Johnson post alongside their senior openings. Graduate co-op programs at Rutgers University and NJIT feed directly into these pipelines. Building a public portfolio on GitHub, earning an AWS or Google Cloud ML certification, and applying to rotational technology programs at New Jersey-based financial and pharma firms are the credentials that consistently open the door.
Where can I find and apply to ai software developer jobs in New Jersey?
You can find and apply to ai software developer jobs in New Jersey on Migrate Mate, which lists current New Jersey openings updated regularly. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
See All 41 AI Software Developer Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find AI Software Developer Jobs