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Genai Developer Jobs in New York (NOW HIRING)

Photon

GenAI Developer / Python

Manhattan, NY · On-site

$55.50 - $76.25/hr

GenAI Developer / Python Location: New York (Onsite) Role Summary: We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex ...

Yotta Systems INC

GenAI Engineer (RAG)

Manhattan, NY · On-site

GenAI Engineer RAG / LLM Location: New Jersey /New York (Onsite) We are looking for a GenAI Engineer with strong hands-on experience building RAG (Retrieval-Augmented Generation) solutions and ...

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Senior GenAI Engineer Location: Jersey City, NJ (Onsite) Pay Rate: $60-$70/Hour Contract: Contract Schedule: Onsite Experience: 15+ Years About the Role We are seeking a highly experienced Senior ...

Inficare Technologies

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Job Title: Sr. GenAI Engineer Location: Jersey City, NJ (5 Days Onsite) Job Type: 12+ Month ... Familiarity with the financial services industry. * DevOps practices and Agile methodologies.

Sogeti

GenAI Engineer

New Brunswick, NJ · On-site

Utilize Azure DevOps, Azure ML, and Databricks to automate AI development and deployment workflows ... GenAI applications . What you will bring : * Bachelor's or Master's degree in Computer Science ...

1 point system

GenAI Engineer

New York, NY · Remote

Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have ... Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.

Capgemini

Senior Python/GenAI Engineer

New York, NY · On-site

$105K - $115K/yr

... for GenAI components * Work closely with product owners' business analysts architects cloud engineers governance teams and bankers to convert requirements into production ready AI capabilities

United Airlines

Senior Python/GenAI Engineer

Manhattan, NY · On-site

$105K - $115K/yr

... for GenAI components * Work closely with product owners' business analysts architects cloud engineers governance teams and bankers to convert requirements into production ready AI capabilities

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are seeking a highly skilled and hands-on GenAI / Agentic AI Developer to design, build, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented ...

Point72

GenAI Security Engineer

Manhattan, NY · On-site

Point72 is a leading global alternative investment firm, and they are seeking a GenAI Security ... DevOps, MLOps, Product, Legal, and Compliance, to land guardrails without blocking delivery. • ...

Point72

GenAI Security Engineer

Manhattan, NY · On-site

The GenAI Security Engineer will develop and implement next-generation security controls for the ... DevOps, MLOps, Product, Legal, and Compliance, to land guardrails without blocking delivery. • ...

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Genai Developer information

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How much do genai developer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for genai developer in New York is $57.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $70.72 per hour, depending on experience, location, and employer.

What is a GenAI developer?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What are some common challenges GenAI developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

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

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

How to become a GenAI developer?

To become a GenAI developer, you should gain expertise in machine learning, deep learning, and natural language processing, with a focus on generative models like GPT. Proficiency in programming languages such as Python, experience with frameworks like TensorFlow or PyTorch, and understanding of large language models are essential. Building a portfolio of projects and staying updated with AI research can also enhance your qualifications.

Is a Genai Developer a promising career?

A Genai Developer is a growing role focused on developing and implementing generative AI models, which are increasingly used across industries. The field requires skills in machine learning, programming, and AI frameworks, and offers strong job growth prospects due to expanding AI adoption. Continuous learning and staying updated with new tools are important for success in this career.

What cities in New York are hiring for Genai Developer jobs?

Cities in New York with the most Genai Developer job openings:

Genai Developer jobs near you
Infographic showing various Genai Developer job openings in New York as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $120,240 per year, or $57.8 per hour.

GenAI Developer / Python

Photon

Manhattan, NY • On-site

$55.50 - $76.25/hr

Other

Posted 25 days ago

Job description

Role: GenAI Developer / Python
Location: New York (Onsite)
Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.
Technical Stack:
LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.
Frameworks: LangChain, LlamaIndex, and Hugging Face.
Orchestration: LangGraph and Multi-Agent Systems (MAS).
Development: Python, FastAPI, and Asynchronous Programming.
RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.
Deployment: Docker, Production API management, and LLM monitoring.
Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.
Key Responsibilities:
Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.
Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.
Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.
Design and deploy high-performance, scalable backend services using FastAPI and Async Python.
Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.
Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.
Containerize and deploy AI services via Docker to production environments.
Required Qualifications:
7+ years of hands-on experience building and deploying GenAI applications in a production setting.
Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).
Experience with vector search, embedding models, and advanced data retrieval patterns.
Knowledge of model fine-tuning techniques and local LLM quantization/hosting.
Familiarity with production-grade monitoring, API security, and CI/CD for ML.

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