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Remote Ai Agent Developer Jobs in Norwalk, CT (NOW HIRING)

Forward Deployed AI Engineer, East

New York, NY ยท On-site +1

$155K - $190K/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 ...

AI Solutions Manager, East

New York, NY ยท 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 ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

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Remote Ai Agent Developer information

See Norwalk, CT salary details

$29.1K

$48.1K

$99.9K

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

As of Sep 6, 2026, the average yearly pay for remote ai agent developer in Norwalk, CT is $48,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $51,200.00 per year, depending on experience, location, and employer.

What is a remote AI agent developer?

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 the key skills and qualifications needed to thrive as a remote AI agent developer?

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 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 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.

How much do remote AI agent developers make?

Remote AI agent developers typically earn between $80,000 and $150,000 annually, depending on experience, skills in machine learning and programming, and the complexity of projects. Senior roles or those with specialized expertise can earn higher salaries, especially in tech-focused companies or industries.

What are popular job titles related to Remote Ai Agent Developer jobs in Norwalk, CT?

For Remote Ai Agent Developer jobs in Norwalk, CT, the most frequently searched job titles are:

What job categories do people searching Remote Ai Agent Developer jobs in Norwalk, CT look for?

The top searched job categories for Remote Ai Agent Developer jobs in Norwalk, CT are:

What cities near Norwalk, CT are hiring for Remote Ai Agent Developer jobs?

Cities near Norwalk, CT with the most Remote Ai Agent Developer job openings:

REMOTE Windows Endpoint Engineer / Agent Developer

Thomas Talent Network

New York, NY โ€ข Remote

$10K - $15K/mo

Contractor

Posted 18 days ago


Job description

Company: Candor Security (Seed, founded 2025, 1–10 employees) — https://candor.security/

This is a REMOTE Role hiring in the US, LATAM and India

Compensation: $6,000–$15,000 / month (contract). Regional comps: India $6k–$8k/mo, LATAM $7k–$9k/mo, US $10k–$15k/mo. Experience: 5+ years. Visa sponsorship: none.

About the Role

Candor is bringing its data-loss-prevention engine down to the endpoint. The AI detection engine is being built in-house; this role owns the Windows endpoint agent end-to-end — defining the agent's internal structure, reverse-engineering the relevant Windows system APIs, and emitting the telemetry the platform needs (browser data uploads, endpoint data movement, web searches, file renaming, and other suspicious-activity indicators) streamed back to the backend. Teach-and-build role with substantial architectural latitude; a mistake at this layer can trigger blue screens across a customer fleet, so hands-on experience is essential.

What You'll Own
  • Design, build, and ship the Windows endpoint agent end-to-end, from system-level telemetry capture to backend streaming
  • Reverse-engineer and integrate the Windows system APIs required to observe data movement safely without destabilizing the OS
  • Emit the defined telemetry set (browser data uploads, endpoint data movement, web searches, file renaming, and other indicators)
  • Own customer deployment: MDM policy design, staged rollout, and safe agent update mechanisms
  • Set and evolve the agent architecture and level up a technical founding team
Must-Have
  1. Proven experience building and shipping production Windows endpoint agents end-to-end
  2. Deep familiarity with Windows system internals and collecting telemetry safely without instability/BSODs
  3. Proficiency in Rust (or willingness to build in Rust); strong C++ acceptable with a clear rationale
  4. Hands-on deploying endpoint agents at customer scale — MDM policy design, staged rollout, update delivery
  5. High autonomy and strong communication; able to lead architecture and teach a technical founder
Nice-to-Have
  • Prior DLP or insider-risk experience (Palo Alto Networks, CrowdStrike, SentinelOne, Cyberhaven, Microsoft Defender)
  • Agents across both Windows and macOS
  • Early-stage startup experience
  • Browser extension or cross-platform telemetry experience