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Remote Ai Agent Developer Jobs in Rutherford, NJ

WOWK-TV

Senior AI Architect

New York, NY · Remote

$120/hr

Guide and set standards for the AI developers building agents across the platform, ensuring individual agent work builds consistently on the central architecture. Qualifications: * Deep experience ...

Monstro

Senior Applied AI Software Engineer

New York, NY · On-site +1

$134K - $176K/yr

Architect and build AI agent systems - including multi-agent workflows, orchestration layers, and the infrastructure that makes them reliable and auditable in production * Design modeling and ...

Tribune Media

Senior AI Architect

New York, NY · Remote

$120/hr

Guide and set standards for the AI developers building agents across the platform, ensuring individual agent work builds consistently on the central architecture. Qualifications: * Deep experience ...

Zenity

Sr. Software Engineer

Manhattan, NY · On-site +1

$180K - $250K/yr

As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility ...

Assort Health

Senior Solutions Engineer

New York, NY · On-site +1

$220K - $250K/yr

An AI agent that knows who you are, remembers how you like to be reached, and carries that context ... San Francisco or New York ideal, open to remote What You'll Do * Serve as the senior technical ...

Influur

AI Engineer

New York, NY · On-site +1

$150K - $200K/yr

An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention. Why this matters: We have 3 years of proprietary data on what ...

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Remote Ai Agent Developer information

See Rutherford, NJ salary details

$29.6K

$48.9K

$101.4K

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 Rutherford, NJ is $48,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $52,000.00 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 cities near Rutherford, NJ are hiring for Remote Ai Agent Developer jobs? Cities near Rutherford, NJ with the most Remote Ai Agent Developer job openings:
Remote Ai Agent Developer jobs near you

Senior AI Architect

WOWK-TV

New York, NY • Remote

$120/hr

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 hours ago

Job description

Position Summary:

Nexstar is seeking a senior AI Architect to lead our efforts to design, develop and deploy AI and ML models and agents on top of a new single governed data estate to drive greater efficiency and effectiveness across the business. This role, located in Nexstar's New York offices, is responsible for guiding design, development and deployment of data architecture to enable efficient and effective AI modeling and agentic development across a large, multi-phase data platform.

This means designing the systems, patterns, and standards that enable agents to answer business questions accurately, safely, and at scale across a growing set of data domains and use cases.

Responsibilities:

  • Define the overall agent architecture: how agents are structured, how they access data, how they are governed, and how the architecture scales as new data domains and use cases come online
  • Design and own the central agent integration layer that mediates all data access between agents and the platform, so that guardrails and controls are enforced in one place and consistently applied across all agents built on the architecture
  • Evaluate and select LLM frameworks and orchestration approaches, including Databricks Mosaic AI and other platforms, matching technology choices to use case requirements rather than defaulting to a single stack
  • Establish the patterns governing how agents interact with governed data, ensuring agents operate within access controls, return accurate and trustworthy answers, and handle business context correctly
  • Define guardrails across the agent layer: read-only data access, user- and role-based data access controls, PII handling, output validation, and hallucination mitigation
  • Design the agent evaluation framework, including synthetic query suites, accuracy validation, and the use of agents to generate and run test variations against domain coverage and answer consistency, establishing the criteria that determine when an agent is production-ready
  • Define user-facing agent experience patterns: conversational vs single-query, output formats, how agents surface caveats and supporting data, and how they are accessed by different user types
  • Work with data and analytics teams to ensure the underlying data layer (schemas, metadata, metric definitions) is structured to support accurate agent responses
  • Ensure agent architecture respects multi-tenant data boundaries as the platform scales to support additional broadcast partners
  • Stay current on the rapidly evolving AI and agent tooling landscape and bring relevant developments into the architecture proactively
  • Guide and set standards for the AI developers building agents across the platform, ensuring individual agent work builds consistently on the central architecture.

Qualifications:

  • Deep experience designing and deploying production AI agent systems, including LLM selection, orchestration, and evaluation
  • Familiarity with Databricks platform and related products
  • Strong understanding of how agents interact with structured data, including retrieval patterns, semantic layers, and metadata-driven context
  • Familiarity with major LLM platforms and orchestration frameworks, with the ability to evaluate tradeoffs objectively across vendors
  • Experience designing safety and governance patterns for AI systems
  • Comfortable working across data engineering, analytics, and business stakeholder teams
  • Experience in media, advertising, or other data-intensive industries with complex business metrics and multi-system data environments helpful

The salary range for this position is $120-140K.


Nexstar offers full-time employees a comprehensive benefits package to include medical, life and short-term disability insurance, worker's compensation, and unemployment insurance, 401(k) retirement plan, paid holidays, paid vacation, paid sick time, employee assistance program, bereavement leave, jury duty service time off, military leave, and medical/maternity & family leave.

Nexstar is committed to attracting, developing, and retaining the industry's top talent. In compliance with the provisions of all applicable state and federal civil rights laws, every effort will be made to employ the most qualified individuals without regard to race, color, religion, disability, age, sex, national origin, citizenship, veteran's status, sexual orientation, military status, or any other protected personal characteristics.

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