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New Grad Ai Software Engineer Jobs in Edison, NJ

Senior AI Software Engineer

New Brunswick, NJ · On-site

$126K - $166K/yr

Senior AI Software Engineer Category: Software Development/ Engineering Main location ... United States, New Jersey, New Brunswick Position ID:J0726-2558 Employment Type: Full Time U.S ...

Senior AI Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

They are seeking a Senior AI Software Engineer to develop intelligent systems that assist users in ... Founded in 2014, the company is headquartered in New York, USA, with a team of 11-50 employees. The ...

Senior AI Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

They are seeking a Senior AI Software Engineer to develop AI-driven solutions that empower ... Founded in 2014, the company is headquartered in New York, USA, with a team of 11-50 employees. The ...

Senior AI Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

The Senior AI Software Engineer will develop intelligent systems that empower users in their ... Founded in 2014, the company is headquartered in New York, USA, with a team of 11-50 employees. The ...

Java/AI Software Engineer

Iselin, NJ · On-site

$52.50 - $72/hr

The Java/AI Software Engineer will focus on designing and developing innovative software solutions ... This role is based in New York and involves collaborating with cross-functional teams to deliver ...

... software engineering fundamentals and are interested in applying those skills to modern AI-enabled ... Candidates located in or able to travel to the New York City metropolitan area are preferred and ...

Position Summary Assured Guaranty is seeking a Senior AI Software Engineer to build production-grade AI applications using our emerging agentic AI framework. This role focuses on translating business ...

Position Summary Assured Guaranty is seeking a Senior AI Software Engineer to build production-grade AI applications using our emerging agentic AI framework. This role focuses on translating business ...

Confido is the AI infrastructure powering modern CPG - the platform that 200+ brands like OLIPOP ... The Role As a Full-Stack Engineer (Early Career) at Confido, you will help build new product ...

New Grad Software Engineer

New York, NY · On-site

$100K - $140K/yr

... made up of software engineers (Jane Street, Google, Stanford, Princeton) and ex-attorneys ... You'll gain exposure to AI, serverless architecture, and the business of law while owning ...

CGI is seeking an AI Software Engineer to join our growing AI Engineering team and help shape the ... embrace new opportunities, and benefit from expansive industry and technology expertise. You'll ...

New

AI Software Developer Category: Software Development/ Engineering Main location ... United States, New Jersey, New Brunswick Position ID:J0726-1357 Employment Type: Full Time U.S ...

Software Engineer (New Grad)

New York, NY · On-site

$120K - $150K/yr

Traba is the AI operating layer for the industrial supply chain. We started in workforce-temp ... You explore new languages and frameworks happily, and can talk product with a designer one minute ...

Senior AI Software Engineer

New York, NY · On-site

$150K - $220K/yr

... AI outputs are accurate, trustworthy, and empathetic. Who You Are: * 7+ years of software engineering experience. You have a track record of shipping production software and take pride in clean, well ...

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Showing results 1-20

New Grad Ai Software Engineer information

See Edison, NJ salary details

$65.7K

$152.7K

$212.7K

How much do new grad ai software engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for new grad ai software engineer in Edison, NJ is $152,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $179,100.00 per year, depending on experience, location, and employer.

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

What are the key skills and qualifications needed to thrive as a new grad AI software engineer, and why are they important?

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What does a new grad AI software engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What are some common challenges faced by new grad AI software engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.
What are popular job titles related to New Grad Ai Software Engineer jobs in Edison, NJ? For New Grad Ai Software Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching New Grad Ai Software Engineer jobs in Edison, NJ look for? The top searched job categories for New Grad Ai Software Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for New Grad Ai Software Engineer jobs? Cities near Edison, NJ with the most New Grad Ai Software Engineer job openings:
Infographic showing various New Grad Ai Software Engineer job openings in Edison, NJ as of July 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $152,724 per year, or $73.4 per hour.

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Re-posted 18 days ago


Success Academy rating

5.1

Company rating: 5.1 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

547th of 621 rated elementary and secondary schools


Job description

As the fastest-growing, highest-performing charter school network in New York State, Success Academy is reimagining K-12 public education. Nationally recognized for our innovative, whole-child school model and outstanding academic results, Success Academy educators are empowering children from all backgrounds with the knowledge, skills, and self-belief to succeed in college and in life. We now need a results-driven AI Software Engineer/ Integration Specialist to join our AI Enablement team.

Department 

The Technology Division at Success Academy is the chief provider of technology infrastructure, application services, security, and support. The Division partners with teams across the organization to equip students, teachers, leaders, and staff with the innovative technology tools and know-how necessary to achieve academic and operational excellence.

We are looking for an AI Software Engineer to play a critical role in connecting AI tools with school systems. This role ensures that AI-powered solutions seamlessly integrate with existing School Information Systems (SIS), Learning Management Systems (LMS), and other educational technologies.

The ideal candidate has a strong background in software integration, API development, automation, and cloud-based solutions. They should be comfortable working with education technology platforms while designing scalable, automated workflows to enhance school operations using AI.

Requirements:

  • 4+ years of experience in software integration, API development, or automation engineering.

  • Strong proficiency in API development, automation workflows, and event-driven architectures.

  • Knowledge of cloud-native integration tools in AWS, GCP, or Azure.

  • Excellent problem-solving skills and an automation-first mindset.

  • Strong ability to collaborate with AI, cloud, and data engineering teams to create scalable AI-driven solutions.

  • Familiarity with LLMs and AI-powered automation is a plus.

Responsibilities:

  • Design and implement integrations between AI models and school systems (SIS, LMS, student data platforms, and assessment tools).

  • Develop middleware, APIs, and automation scripts to enable AI-enhanced workflows for grading, student engagement analysis, and predictive insights.

  • Build, deploy, and manage RESTful APIs, GraphQL APIs, and Webhooks to enable seamless communication between AI and school infrastructure.

  • Automate data extraction, transformation, and synchronization between systems using ETL pipelines and API-driven workflows.

  • Develop integrations with LLM-based AI assistants, chatbots, and recommendation engines to enhance learning experiences.

  • Leverage low-code and no-code automation tools where applicable for rapid deployment of solutions.

  • Ensure real-time data flow between AI tools and student management systems using Pub/Sub, Kafka, or event-driven architectures.

  • Implement secure authentication and authorization protocols (OAuth 2.0, SAML, JWT) to protect student and faculty data.

  • Ensure compliance with FERPA and other education data privacy regulations.

  • Work with identity and access management (IAM) solutions to control AI system permissions.

  • Work closely with AI teams, data engineers, and DevOps to deploy integrations in AWS and GCP.

  • Develop serverless functions (AWS Lambda, Google Cloud Functions, Azure Functions) for lightweight, scalable automation.

  • Implement event-driven architectures using Step Functions, Pub/Sub, and Webhooks.

  • Collaborate with educators and administrators to define integration requirements and automation opportunities.

Technical Stack & Tools:

Integration & API Development:

  • RESTful APIs, GraphQL, gRPC

  • OAuth 2.0, JWT, SAML, OpenID Connect

  • Postman, Swagger (OpenAPI), API Gateway


Cloud & Infrastructure:

  • AWS (Lambda, Step Functions, API Gateway, EventBridge, S3, DynamoDB)

  • GCP (Cloud Functions, Pub/Sub, Firestore, BigQuery)

  • Azure (Azure Functions, Event Grid, Cosmos DB)

Automation & Data Pipelines:

  • Python, Node.js, FastAPI, Flask, Express.js

  • ETL tools (Talend, dbt)

  • Messaging & Streaming: Kafka, RabbitMQ, Redis Pub/Sub

Security & Compliance:

  • IAM & Role-Based Access Control (RBAC)

  • Data encryption, secure API access

  • Compliance with FERPA


What Success Academy employees say

Pay

Benefits

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