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Python Ai Developer Jobs in New York (NOW HIRING)

A.Team

AI Ops

New York, NY · On-site +1

$57.75 - $79/hr

About the Role As a Forward Deployment Engineer (FDE) on our AI Solutions Team, you'll be the ... Prototype for Impact: Rapidly build working demos and prototypes in TypeScript and Python to ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ

$160K - $200K/yr

Strong skills in Python, AI model deployment, and AWS services (Lambda preferred) * Knowledge of LangChain, Pydantic, and scalable AI workflows * Proficiency in prompt engineering and optimization ...

First Soft Solutions

Gen AI Engineering Lead

New York, NY · On-site

$112.10K - $147.70K/yr

... Python, LangGraph, and SQL ( Must Have ) ✔ Experience architecting and deploying GenAI solutions on Azure, AWS, or GCP ✔ Hands-on experience with AI developer tools such as Claude Code, Codex ...

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How much do python ai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for python ai developer in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python AI Developer, and why are they important?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies with advanced AI projects.
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Python Ai Developer jobs near you
Infographic showing various Python Ai Developer job openings in New York as of May 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Machine Learning Engineer - Document Digitization (LLMs)-Senior Associate

JPMorganChase

Jersey City, NJ • On-site

$114.40K - $157.10K/yr

Full-time

Posted 16 days ago

Job description

Job Summary:
JPMorganChase is one of the oldest financial institutions, offering innovative financial solutions to a diverse clientele. The Machine Learning Engineer – Document Digitization (LLMs)- Senior Associate will design, develop, and deploy AI-powered solutions for document management, collaborating with cross-functional teams to drive strategic business outcomes.
Responsibilities:
• Design, development, and integration of AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.
• Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.
• Employ generative AI, and large language models (LLMs) to automate and optimize document workflows.
• Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.
• Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).
• Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.
• Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.
• Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.
• Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.
• Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.
• Contribute to communities of practice and explore new and emerging technologies.
Qualifications:
Required:
• Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.
• Strong proficiency in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS).
• Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.
• Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).
• Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.
• Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
• Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).
• Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.
• Strong understanding of SDLC, CI/CD, resiliency, and security practices.
• Demonstrated ability to accelerate development using AI technologies.
• Experience deploying and maintaining AI/ML solutions in large-scale, production environments.
• Strong problem-solving, communication, and collaboration skills.
Preferred:
• Experience in financial services, especially investment banking or credit risk operations.
• Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs.
• Familiarity with distributed computing, data sharing, and DDP training.
• Experience in design/code reviews and mentoring teams.
• AWS Generative AI Developer Professional certification or equivalent.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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