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Ai Developer Jobs in Edison, NJ (NOW HIRING)

PUIG

Data & AI Developer

North Brunswick, NJ

Interest in AI, ML and GenAI. * Understanding of data governance, documentation and monitoring. EDUCATION AND CERTIFICATIONS * Bachelor's degree in Computer Science, Engineering, Mathematics ...

Citi

Lead Generative AI Developer

New York, NY · On-site

$176K - $265K/yr

About the Role We are looking for a Lead Generative AI Developer to join our COO Technology Division in New York. In this high-impact role, you will architect, develop, and operationalize cutting ...

1 point system

AI/Python Developer

New York, NY · Remote

$51.50 - $71/hr

Position Summary The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code.

MDAEdge

Senior Gen AI Developer

Brooklyn, NY · On-site

$132K - $177K/yr

MDAEdge is a company seeking a Senior Gen AI Developer. The role involves designing and developing web applications and APIs, fine-tuning language models, and optimizing database performance while ...

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 ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are looking for a hands-on Gen AI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases. Key Responsibilities: Build Gen AI ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are looking for a hands-on Gen AI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases. Key Responsibilities: Build Gen AI ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are looking for a hands-on GenAI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases. Key ResponsibilitiesBuild GenAI ...

Capgemini

GenAI / Agentic AI Developer

New York, NY · On-site

We are looking for a hands-on GenAI / Agentic AI Developer to build LLM-powered applications, RAG solutions, and agentic AI workflows for enterprise use cases. Key Responsibilities * Build GenAI ...

Photon

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 applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the ...

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$131.1K

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How much do ai developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai developer in Edison, NJ is $131,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $159,100.00 per year, depending on experience, location, and employer.

What does an AI developer do?

An AI Developer designs, builds, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data science technologies to develop applications such as chatbots, recommendation systems, or automation tools. AI Developers often use programming languages like Python and frameworks like TensorFlow or PyTorch. Their role involves training models, optimizing performance, and deploying AI solutions in real-world environments.

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

To thrive as an AI Developer, you need a solid understanding of machine learning algorithms, programming languages such as Python or Java, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms, and certifications in AI or data science are common requirements. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills are essential for designing accurate, efficient AI models and collaborating successfully across interdisciplinary teams.

How do I become an AI developer?

To become an AI developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. A bachelor's degree in computer science, data science, or a related field is typically required, and gaining experience through projects, internships, or certifications can enhance your prospects.

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Ai Developer jobs near you
Infographic showing various Ai Developer job openings in Edison, NJ as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $133,908 per year, or $64.4 per hour.

Senior Generative AI Developer

Citigroup, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 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

38th of 175 rated banks

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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