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Remote Ai Agent Developer Jobs in Edison, NJ (NOW HIRING)

That's where we come in. Arize AI is the leading AI & Agent Engineering observability and ... While we are a remote-first company, the nature of this role requires candidates to be based in the ...

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ...

AI Solutions Manager, East

New York, NY · On-site +1

$140K - $175K/yr

That's where we come in. Arize AI is the leading AI & Agent Engineering observability and ... While we are a remote-first company, the nature of this role requires candidates to be based in the ...

US - NY - Remote Job Title: Infrastructure Engineering - Web Developer III Summary We're seeking ... You'll be contributing to the frontiers of AI agent research. Skillsets fluency in Python ...

You ship the day you write the code and reach for AI-assisted development by default. If you've ... An agent that impresses in a demo and one that 25,000+ teams trust with their real work are ...

Full Stack AI Engineer

New York, NY · On-site +1

$140K - $200K/yr

Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European ... AI & Agent Architecture: Deep knowledge of prompt design, tool-calling architectures, Model Context ...

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Showing results 1-20

Remote Ai Agent Developer information

See Edison, NJ salary details

$30K

$49.6K

$103K

How much do remote ai agent developer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote ai agent developer in Edison, NJ is $49,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,200.00 and $52,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Agent Developer vs Remote Chatbot Developer?

AspectRemote Ai Agent DeveloperRemote Chatbot Developer
Required SkillsAI, machine learning, NLP, programmingChatbot platforms, scripting, UI design
Work EnvironmentAI development teams, tech companiesCustomer service, tech firms, startups
Industry UsageAI-driven virtual assistants, complex AI systemsCustomer support bots, simple conversational interfaces

Remote Ai Agent Developers focus on creating advanced AI-powered virtual assistants using machine learning and NLP, often working on complex AI systems. In contrast, Remote Chatbot Developers typically build conversational interfaces for customer support or marketing, emphasizing scripting and UI design. While both roles involve AI and programming, the scope and complexity differ, with Ai Agent Developers working on more sophisticated AI solutions.

What are Remote AI Agent Developers?

Remote AI Agent Developers are software professionals who design, build, and maintain artificial intelligence agents while working from a remote location. These developers use programming languages, machine learning frameworks, and AI technologies to create systems that can perform tasks autonomously or assist users. Their work may include developing chatbots, virtual assistants, recommendation engines, or other intelligent systems. Working remotely allows them to collaborate with teams and clients worldwide, often using cloud-based tools and platforms.

What are some common challenges faced by Remote AI Agent Developers, and how can they be addressed?

Remote AI Agent Developers often encounter challenges such as coordinating across different time zones, ensuring smooth communication with distributed teams, and managing project dependencies asynchronously. To address these, it's important to use collaborative tools (like Slack, GitHub, or Jira), schedule regular check-ins, and document development processes thoroughly. Building strong relationships through proactive communication and adopting agile practices can also help streamline workflows and maintain productivity in a remote setting.

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

To thrive as a Remote AI Agent Developer, you need a strong background in computer science, machine learning, and programming languages such as Python, along with experience in developing and deploying AI models. Proficiency with AI frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and familiarity with version control systems is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication help you collaborate and deliver results in distributed teams. These skills ensure the successful creation, deployment, and maintenance of intelligent agents that meet organizational goals in a remote work environment.
What are the most commonly searched types of Ai Agent Developer jobs in Edison, NJ? The most popular types of Ai Agent Developer jobs in Edison, NJ are:
What are popular job titles related to Remote Ai Agent Developer jobs in Edison, NJ? For Remote Ai Agent Developer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Ai Agent Developer jobs in Edison, NJ look for? The top searched job categories for Remote Ai Agent Developer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Remote Ai Agent Developer jobs? Cities near Edison, NJ with the most Remote Ai Agent Developer job openings:
Infographic showing various Remote Ai Agent Developer job openings in Edison, NJ as of July 2026, with employment types broken down into 77% Full Time, 6% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $49,620 per year, or $23.9 per hour.
Forward Deployed Engineer (Generative AI)

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

New York, NY • Remote

Full-time

Posted 21 hours ago

Posted today


Job description

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Agentic Design & Implementation
● Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
● Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
● Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.


AI on Data Strategy
● Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
● Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
● Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".


Operational Excellence (Soft Skills)
● Active Participation: Show up promptly for all internal and client-facing meetings.
● Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
● Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
● Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
● Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
● Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
● Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
● Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.