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Python Ai Developer Jobs in Berkeley Heights, NJ

Citigroup, Inc.

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 ...

Citi

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 ...

Citi

Senior Python AI Engineer (Hands-On), VP

New York, NY · On-site

$132K - $178K/yr

... AI solutions primarily using Python, while also leveraging Node.js and TypeScript. The ideal candidate is an expert polyglot engineer with a proven track record in building enterprise-grade products ...

Citi

Senior Generative AI Developer

New York, NY · On-site

$142K - $213K/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 ...

Citi

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 ...

MDAEdge

Senior Gen AI Developer

Brooklyn, NY · On-site

$132K - $177K/yr

Required : • 10+ years programming: .NET Core, C#, Python. • 5+ years AI/ML/NLP: LangChain, LangGraph, LlamaIndex, NLP models, RAG vector DBs, model deployment. • 7+ years database: Oracle SQL ...

Accord Technologies Inc.

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Sr. AI Developer w/ Reactjs Location: Warren, NJ (Onsite) Position type: W2 contract. Job Overview ... The ideal candidate will have strong skills in Python, React.js, Retrieval-Augmented Generation ...

Software Guidance & Assistance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Focuses on developing robust Python-based services, APIs, and data processing systems that support ... Experience with AI developer tools such as Copilot * #LI-NG1 SGA is a technology and resource ...

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 ... The ideal candidate will have strong Python development expertise and practical experience ...

eClercx

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

Senior AI Developer Location: New York, United States Type: Full-time Department: Technology Job ... Build and maintain scalable Python-based services, APIs, and microservices that serve as agent ...

Vigna Solutions Inc.

AI/ML Engineer

Jersey City, NJ · On-site

This role requires strong expertise in Python, system design, AI/ML, Generative AI, and modern ... Collaborate with Product, DevOps, QA, and Architecture teams. * Optimize application performance ...

eClerx

Senior AI Developer

Manhattan, NY · On-site

$125K - $140K/yr

Senior AI Developer Location: New York, United States Type: Full-time Department: Technology Job ... Build and maintain scalable Python-based services, APIs, and microservices that serve as agent ...

1 point system

Kore.AI Developer

New York, NY · Remote

$53.75 - $69.25/hr

Develop custom server-side logic for bots using Python or Java , including fulfillment scripts, API ... the Kore.ai XO Platform . * Strong programming experience in Python and Java (mandatory)

MDAEdge

Senior Gen AI Developer (ONLY W2)

Brooklyn, NY · On-site

$132K - $177K/yr

Required : • 10+ years programming: .NET Core, C#, Python. • 5+ years AI/ML/NLP: LangChain ... LangGraph, LlamaIndex, NLP models, RAG vector DBs, model deployment. • 7+ years database: Oracle ...

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How much do python ai developer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for python ai developer in Berkeley Heights, NJ is $61.18, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.47 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.

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Python Ai Developer jobs near you

Senior Generative AI Developer

New York, NY • On-site

Citigroup, Inc.
Banking and Credit Intermediation • 5 - 10K employees
Learn more about Citigroup, Inc.external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Design and implement end-to-end Generative AI pipelines, including LLM integrations, Retrieval-Augmented Generation systems, autonomous AI agents, and prompt engineering frameworks.

  • Develop scalable, production-ready Python services and APIs to support AI-driven features across COO platforms.

  • Evaluate, integrate, and fine-tune LLMs and embedding models for domain-specific financial use cases.

Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

Job description

About the Role
We are looking for a Senior Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting-edge Generative AI and Large Language Model (LLM) solutions that directly transform how Citi's operational teams work. You will collaborate with cross-functional stakeholders - including operations leads, data engineers, product managers, and enterprise architects to deliver enterprise-grade AI capabilities at scale.
This is a hands-on engineering role for a builder who thrives at the intersection of applied AI research and production software engineering.
Key Responsibilities
  • Design & Build GenAI Solutions: Architect and implement end-to-end Generative AI pipelines including LLM integrations, Retrieval-Augmented Generation (RAG) systems, autonomous AI agents, and prompt engineering frameworks.
  • Python Development: Develop robust, scalable, and production-ready Python services and APIs that power AI-driven features across COO platforms.
  • Model Integration & Fine-tuning: Evaluate, integrate, and fine-tune LLMs (e.g., GPT-5, Claude, Mistral) and embedding models for domain-specific financial use cases.
  • MLOps & Deployment: Build and maintain ML/GenAI deployment pipelines using modern MLOps practices, ensuring reliability, observability, and governance.
  • Agentic Workflows: Design and implement multi-agent orchestration frameworks (e.g., LangGraph, Google ADK) for complex, multi-step operational workflows.
  • Enterprise AI Governance: Collaborate with Citi's AI Risk and Compliance teams to ensure all AI solutions align with regulatory requirements, responsible AI frameworks, and data privacy standards.
  • Data Engineering: Design and optimize data pipelines feeding AI systems, working with vector databases (e.g., Pinecone, Weaviate, pgvector) and enterprise data platforms.
  • Technical Leadership: Mentor junior developers, lead code reviews, and contribute to GenAI standards and best practices across the COO Technology organization.
  • Stakeholder Collaboration: Translate complex business requirements from COO operations stakeholders into technical AI solutions, providing clear communication of trade-offs and timelines.

Required Qualifications
  • Experience: 6+ years of professional software engineering experience, with at least 2+ years focused on Generative AI / LLM application development.
  • Python: Expert-level Python proficiency - including async programming, API development (FastAPI, Flask), and software design patterns.
  • GenAI & LLM Stack:
    • Deep hands-on experience with LLM frameworks: LangChain, LangGraph, LlamaIndex etc
    • Hands on experience with Google Cloud AI Platform
    • Proven experience with RAG architectures, embedding pipelines, and vector search
    • Strong understanding of prompt engineering, few-shot learning, and chain-of-thought techniques
    • Experience integrating with LLM APIs: OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI
  • Machine Learning: Solid grounding in ML fundamentals; familiarity with model evaluation, fine-tuning (LoRA, PEFT), and inference optimization.
  • Cloud Platforms: Hands-on experience with at least one major cloud provider - AWS, Azure, or GCP - particularly managed AI/ML services.
  • Data & Databases: Proficiency with SQL, NoSQL, and vector databases (Pinecone, Weaviate, Chroma, pgvector).
  • Software Engineering Practices: Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes), version control (Git), and automated testing.
  • Financial Services Acumen (Preferred): Prior experience in banking, fintech, or a regulated industry is a strong plus.

Preferred Qualifications
  • Experience with multi-agent orchestration frameworks (MS AgentFramework, ADK, Strands, LangGraph)
  • Familiarity with MLflow, Weights & Biases, or similar experiment tracking and model management tools
  • Knowledge of responsible AI practices: bias detection, explainability, hallucination mitigation
  • Exposure to Kafka, Spark, or Airflow for data pipeline engineering
  • Experience working in an Agile/SAFe delivery environment
  • Advanced degree (M.S.) in Computer Science, AI/ML, or a related discipline - or equivalent demonstrated experience

Technical Stack (Working Knowledge Expected)
Languages: Python (expert), SQL, Bash
GenAI Frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel
LLM Providers: OpenAI / Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI
Vector Databases: Pinecone, Weaviate, pgvector, Chroma
Cloud: AWS / Azure / GCP
MLOps: MLflow, Docker, Kubernetes, GitHub Actions
Data Engineering: Spark, Airflow, Kafka
Databases: PostgreSQL, MongoDB, Redis
Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

Job Family Group:
Technology
Job Family:
Systems & Engineering
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Citigroup Inc logo

About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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