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Generative Ai Developer Jobs in New York (NOW HIRING)

Persistent Systems

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified Generative AI Engineer Associate The total compensation for this role ...

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Role: Generative AI/ML Engineer Duration 6 Months Location: NYC, NY Position Overview: The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop ...

Persistent Systems

AI Engineer

Manhattan, NY

$133K - $166K/yr

AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified Generative AI Engineer Associate The total compensation for this role ...

Jj

Data and Generative AI Engineer

New Brunswick, NJ · On-site

$118K - $141K/yr

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI ...

Jj

Data and Generative AI Engineer

Raritan, NJ · On-site

$117K - $140K/yr

We are seeking a skilled and motivated Data and Generative AI Engineer to join our dynamic team. The candidate will have a strong background in software development, data engineering, Generative AI ...

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

Job Summary : eTeam is a company seeking an AI/ML Engineer specializing in Generative AI. The role involves designing, building, and deploying AI systems and collaborating with various teams to ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in New York

Generative Ai Developer information

See New York salary details

$20

$49

$110

How much do generative ai developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for generative ai developer in New York is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $25.77 and $59.95 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in New York? For Generative Ai Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in New York look for? The top searched job categories for Generative Ai Developer jobs in New York are:
What cities in New York are hiring for Generative Ai Developer jobs? Cities in New York with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in New York as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $103,057 per year, or $49.5 per hour.

AI Engineer

Persistent Systems

Manhattan, NY • On-site

$133K - $166K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Job Description & Responsibilities
Persistent Systems is looking for an AI Engineer to design, build, and deploy secure AI applications that help employees find information, automate work, analyze data, and make better decisions.
You'll work closely with business and technical teams to turn ideas into reliable AI solutions using modern generative AI, retrieval-augmented generation (RAG), and agent-based technologies. This role covers the full software development lifecycle-from planning and prototyping to deployment, monitoring, and ongoing improvements.
We're looking for someone who enjoys solving real business problems, understands both the opportunities and limitations of AI, and can explain technical concepts to both technical and non-technical audiences.
Position Responsibilities
  • Design, build, test, deploy, and maintain AI-powered applications
  • Develop RAG systems, AI agents, and conversational AI solutions
  • Work with business, engineering, IT, security, and data teams to identify AI use cases and deliver production-ready solutions
  • Build secure data ingestion, retrieval, and search pipelines
  • Evaluate AI models, frameworks, SDKs, and cloud services based on performance, cost, security, and business needs
  • Develop Python APIs and services using tools like FastAPI, Docker, and Kubernetes.
  • Implement AI safety, security, governance, and monitoring practices
  • Create evaluation frameworks to measure AI quality, accuracy, latency, cost, and reliability
  • Connect AI solutions to enterprise databases and analytics platforms
  • Document solutions, mentor teammates, review code, and promote engineering best practices

Technologies You'll Work With
  • Programming: Python, SQL, pandas, R
  • AI Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen
  • Agent SDKs: Microsoft 365 Agents SDK, OpenAI Agents SDK, Claude Agent SDK, Google ADK
  • Cloud Platforms: Azure AI Foundry, AWS Bedrock, Google Vertex AI, Databricks
  • Deployment: FastAPI, Docker, Kubernetes, CI/CD
  • Model Hosting: Hugging Face, Ollama
  • AI Evaluation: LangSmith, MLflow, Braintrust, Langfuse, Arize Phoenix
  • Analytics: Power BI, Tableau
  • Machine Learning: PyTorch, TensorFlow, scikit-learn, XGBoost

Job Qualifications & Experience
Minimum Qualifications
  • 2-5 years of experience in software engineering, machine learning, data engineering, or AI engineering
  • Bachelor's degree in computer science, engineering, data science, mathematics, or a related field (or equivalent experience)
  • Strong Python programming skills
  • Experience building generative AI applications using LangChain, LangGraph, or similar frameworks
  • Experience with RAG systems, prompt engineering, and AI application development
  • Experience using at least one major AI platform such as Azure AI Foundry, AWS Bedrock, Google Vertex AI, or Databricks
  • Familiarity with SQL and enterprise data systems
  • Strong communication and problem-solving skills
  • Ability to obtain or hold a U.S. Security Clearance

Preferred Qualifications
  • Experience with multiple AI frameworks, cloud platforms, or agent SDKs
  • Experience deploying open-source models with Hugging Face or Ollama
  • Familiarity with FastAPI, Docker, Kubernetes, MLflow, and MLOps/LLMOps
  • Experience evaluating and monitoring AI systems in production
  • Knowledge of Power BI, Tableau, Microsoft Copilot Studio, or Power Platform
  • Data engineering experience with Azure Data Factory, AWS Glue, or Databricks
  • Experience with deep learning (PyTorch or TensorFlow) and traditional machine learning (scikit-learn, XGBoost)
  • Experience working in regulated or security-sensitive environments

Preferred Certifications
  • Microsoft Azure AI certifications (AI-103, AI-200, AI-300)
  • AWS Certified Generative AI Developer - Professional
  • Google Cloud Professional Machine Learning Engineer
  • Databricks Certified Generative AI Engineer Associate

The total compensation for this role can vary from $133,000 to $166,000 a year based on individual qualifications. Eligibility for yearly discretionary bonus. Persistent Systems, LLC offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance; paid time off (sick time and vacation time); flexible spending accounts; 401(k) plan with company match; fitness membership reimbursement; tuition assistance; mental health benefits; and pet discounts. We will accept applications on a rolling basis until the role is filled.
Company Overview
Headquartered in New York City since 2007, Persistent Systems, LLC is a global communications technology company which develops, manufactures, and integrates a patented and secure Mobile Ad Hoc Networking (MANET) system: Wave Relay®. The company's industry leading R&D team has designed wireless networking protocols to support their cutting-edge Wave Relay® system and technology. Wave Relay® is capable of running data, video, voice and other applications under the most difficult and unpredictable conditions. Their suite of products is field proven and utilized in Commercial, Military, Government, Industrial, Agriculture, Robotics, and Unmanned System markets.

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