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Gen Ai Software Developer Jobs in New Jersey (NOW HIRING)

Gen-AI Engineers

Jersey City, NJ ยท On-site

$65 - $70/hr

Gen-AI Engineer Location: NJ/NY Area Experience Required: 6-8 years Positions: 4 End Customer ... Required Skills * 6-8 years of overall experience in software engineering, data engineering, AI/ML ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments.

Gen AI Product Owner Location : Hanover, NJ (Hybrid) Duration : Long term * Bachelor's degree in ... Serve as the primary bridge between business stakeholders and AI engineering teams. * Lead ...

GEN AI Architect Location - NJ - onsite Responsibilities: * Lead the architectural design and ... Establish best practices for prompt engineering and iterative refinement to maximize the accuracy ...

Hiring Alert | Gen AI Copilot Lead Employment Type: Full-Time Experience Required: 6-12 Years Visa ... Prompt Engineering * Retrieval-Augmented Generation (RAG) * Vector Databases * LLM Evaluation ...

Role: Gen AI Product Owner Locations: Whippany, NJ (Hybrid) Duration: 12+ Months Contract F2F ... Partner with Scrum Masters and engineering teams during Agile delivery cycles. * Ensure timely ...

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Gen Ai Software Developer information

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

What are the key skills and qualifications needed to thrive as a Gen AI software developer, and why are they important?

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What cities in New Jersey are hiring for Gen Ai Software Developer jobs?

Cities in New Jersey with the most Gen Ai Software Developer job openings:

Infographic showing various Gen Ai Software Developer job openings in New Jersey as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Gen-AI Engineers

SysMind Tech

Jersey City, NJ โ€ข On-site

$65 - $70/hr

Full-time

Re-posted 7 days ago


Key responsibilities

  • Design, develop, and implement Generative AI solutions using LLMs and related AI technologies.

  • Build and deploy Gen-AI applications such as chatbots, document intelligence, knowledge assistants, summarization tools, and automation solutions.

  • Integrate Gen-AI solutions with enterprise systems, APIs, databases, and cloud platforms.


Job description

Gen-AI Engineer
Location: NJ/NY Area
Experience Required: 6-8 years
Positions: 4
End Customer Industry: Financial Services
Bill Rate: $65-$70/hr. Strong candidates at a higher rate may also be submitted for review.
Job Description
We are looking for experienced Gen-AI Engineers with 6-8 years of overall IT experience, including a minimum of 2 years of hands-on experience implementing Generative AI solutions. The ideal candidate should have strong expertise in building, integrating, and deploying AI/ML and Gen-AI solutions for enterprise environments, preferably within the Financial Services domain.
The role will involve working closely with business, data, engineering, and architecture teams to design and implement Gen-AI use cases, integrate LLM-based solutions with enterprise applications, and ensure scalable, secure, and production-ready deployments.
Key Responsibilities
  • Design, develop, and implement Generative AI solutions using LLMs and related AI technologies.
  • Build and deploy Gen-AI applications such as chatbots, document intelligence, knowledge assistants, summarization tools, and automation solutions.
  • Work with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar Gen-AI orchestration tools.
  • Integrate Gen-AI solutions with enterprise systems, APIs, databases, and cloud platforms.
  • Develop and optimize prompts, embeddings, vector search, and RAG-based architectures.
  • Collaborate with data engineering and application teams to consume structured and unstructured data.
  • Ensure AI solutions meet enterprise standards for security, scalability, compliance, and performance.
  • Support model evaluation, testing, monitoring, and production deployment.
  • Work with stakeholders to understand business requirements and translate them into technical Gen-AI solutions.
Required Skills
  • 6-8 years of overall experience in software engineering, data engineering, AI/ML, or related technology roles.
  • Minimum 2 years of hands-on experience implementing Generative AI solutions.
  • Strong experience with Python and AI/ML libraries.
  • Hands-on experience with LLMs such as OpenAI, Azure OpenAI, Anthropic, Llama, Gemini, or similar models.
  • Experience with RAG, embeddings, prompt engineering, vector databases, and semantic search.
  • Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or Azure AI Search.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Good understanding of APIs, microservices, data pipelines, and application integration.
  • Strong problem-solving, communication, and stakeholder collaboration skills.
Preferred Skills
  • Experience in the Financial Services domain.
  • Experience working with enterprise AI governance, security, compliance, and data privacy requirements.
  • Experience with Azure OpenAI, Azure AI Search, AWS Bedrock, or Google Vertex AI.
  • Experience deploying AI/ML or Gen-AI solutions into production.
  • Knowledge of MLOps, LLMOps, CI/CD, Docker, Kubernetes, or cloud-native deployment.
Education
Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
Notes
Candidates must be located in or willing to work in the NJ/NY area. Please submit strong Gen-AI Engineers with proven implementation experience. Candidates slightly above the target bill rate may also be submitted for review if they are a strong technical match.