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

Arize AI

Forward Deployed AI Engineer, East

New York, NY · 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 ...

Arize AI

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 ...

Mercor

AI QA Engineer - Test Specialist

New York, NY · Remote

$60 - $90/hr

Remote Commitment: 35 hours/week Role Responsibilities * Design test cases to confirm each task ... Protect benchmark scores by identifying shortcuts and grading gaps in AI agent runs. Qualifications ...

De Circle

Chaos Labs - Full Stack Engineer (AI)

New York, NY · On-site +1

$160K - $210K/yr

Design and build full-stack systems for our AI financial agent. * Develop scalable APIs and backend services to support agent workflows. * Build high-performance, user-facing interfaces to visualize ...

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All JobsAi Agent Developer JobsRemote Ai Agent Developer JobsRemote Ai Agent Developer Jobs in Norwalk, CT

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 Aug 21, 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:

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

Remote Ai Agent Developer jobs near you

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

New York, NY • Remote

Full-time

Re-posted 8 days ago

Job description

Tiger Analytics is looking for experienced Forward Deployment 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 Deployment 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.