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Python Ai Developer Jobs in Jersey City, NJ (NOW HIRING)

Python + Gen AI Developer - New York

Manhattan, NY · On-site

$55 - $76/hr

We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI ... Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and ...

We are seeking an experienced Senior Python Engineer to design, build, and maintain scalable, high-quality software systems. This role requires strong expertise in Python, system design, and modern ...

* Senior Software Engineer - Generative AI (Applied AI & Engineering) * New York City (Hybrid - 3 ... Serve as a hands-on technical expert, shipping code in Python. Required Qualifications * A Bachelor ...

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

Python Development: Develop robust, scalable, and production-ready Python services and APIs that ... Data Engineering: Design and optimize data pipelines feeding AI systems, working with vector ...

Python Development: Develop robust, scalable, and production-ready Python services and APIs that ... Data Engineering: Design and optimize data pipelines feeding AI systems, working with vector ...

Showing results 21-40

Python Ai Developer information

See Jersey City, NJ salary details

$14

$64

$94

How much do python ai developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python ai developer in Jersey City, NJ is $64.18, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.88 per hour, depending on experience, location, and employer.

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.

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

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.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What are popular job titles related to Python Ai Developer jobs in Jersey City, NJ?

For Python Ai Developer jobs in Jersey City, NJ, the most frequently searched job titles are:

What job categories do people searching Python Ai Developer jobs in Jersey City, NJ look for?

The top searched job categories for Python Ai Developer jobs in Jersey City, NJ are:

What cities near Jersey City, NJ are hiring for Python Ai Developer jobs?

Cities near Jersey City, NJ with the most Python Ai Developer job openings:

Infographic showing various Python Ai Developer job openings in Jersey City, NJ as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $133,493 per year, or $64.2 per hour.

Software Engineer III - Python / AI

JPMorgan Chase & Co

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 9 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 
As a Software Engineer III - Python/ AI at JPMorganChase within the Commercial and Investment Bank , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. 
Job responsibilities
  • Build and maintain UI dashboards using React/TypeScript and backend services in the Python stack
  • Design and deliver data pipelines/ETL on modern data platforms (e.g., Databricks, Snowflake)
  • Execute software design, development, testing, and technical troubleshooting across the SDLC
  • Ensure large language models (LLMs) are used as controlled, well-understood components of the engineering lifecycle (enterprise-approved models)
  • Lead structured requirements analysis using LLM-assisted workflows to translate business and regulatory needs into clear technical specifications
  • Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts
  • Ensure prompt strategies support determinism, reproducibility, traceability, and auditability in regulated environments
  • Ensure LLM-driven systems meet enterprise reliability, resilience, and security expectations
  • Coach teams on safe, compliant LLM/agent usage by documenting strengths, limitations, and risk profiles for different classes of engineering work
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Strong Python skills, including familiarity with agentic development practices
  • Experience with database design and data modeling on modern data platforms (e.g., Databricks, Snowflake)
  • Hands-on experience using approved AI-assisted development tools (e.g., copilots/LLM coding assistants) to design and deliver end-to-end applications, with strong validation habits for correctness, performance, and security
  • Experience developing, debugging, and maintaining code in a large enterprise environment using one or more modern programming languages and database querying languages
  • Strong understanding of SDLC and agile delivery practices, including CI/CD, application resiliency, and security controls
  • Strong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency/security expectations), including experience coaching engineers on compliant adoption
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. 
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
  • Experience in Risk and Pnl in Markets
  • Exposure to public cloud, with preference for AWS
  • Knowledge of Financial Markets and Products (Fixed Income, Derivatives) and Treasury concepts)
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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