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Added 4 mins ago
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Cloud Operations Lead
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- $92,960 to $142,960 CAD / year
- Full-time
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General Fusion is searching for an Electrical Engineer with strong controls experience to join our Controls & Electronics team on our path to commercial fusion. Reporting to the Manager,…
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Apex Systems

AI Developer/Bot Developer

Toronto, ON, Canada

$80 to $90 USD / hour · Full-time

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Applications open in a new tab.

Job details

Pay: $80 to $90 USD / hour
Job type: Full-time
Apply by: Nov 18, 2026
Experience: 5–8+ years of experience in software development, automation, AI solution development, or a related technical field.
Posting language: English
Posted: Oct 19, 2026

Original job description

Job#: 3056347

Job Description:

AI Bot Developer / Conversational AI Engineer

Job Summary

We are seeking an experienced AI Bot Developer / Conversational AI Engineer to join an active AI initiative and help design, build, and deploy AI-powered conversational solutions.

This is a hands-on development role ideal for someone with recent experience building chatbots, virtual assistants, or AI agents using Generative AI and Large Language Models (LLMs). The successful candidate will be comfortable owning solutions from requirements through development, integration, testing, and deployment, with the ability to contribute quickly in a fast-paced environment.

Key Responsibilities

Design, develop, test, and deploy AI-powered chatbots, virtual assistants, and conversational AI solutions.
Build conversational workflows and automate business processes using Generative AI and LLM technologies.
Develop integrations between AI solutions and enterprise applications, REST APIs, databases, and backend systems.
Create, test, and optimize prompts to improve accuracy, relevance, and overall user experience.
Evaluate AI model responses and continuously improve conversation flows and application performance.
Leverage cloud-based AI technologies within AWS and/or Google Cloud Platform (GCP).
Support deployment, monitoring, troubleshooting, and performance optimization of AI solutions.
Partner with Product Managers, Developers, Architects, and business stakeholders to translate requirements into working solutions.
Support testing, production deployments, technical documentation, and ongoing enhancements.
Independently develop and deliver solutions with minimal ramp-up.

Required Qualifications

5–8+ years of experience in software development, automation, AI solution development, or a related technical field.
Recent hands-on experience developing AI bots, virtual assistants, AI agents, or Conversational AI solutions.
Experience independently developing and delivering AI solutions in production or enterprise environments.
Experience with AWS AI services, such as Amazon Bedrock, Lex, or SageMaker, and/or Google Cloud AI / Vertex AI.
Strong understanding of Generative AI, LLMs, Prompt Engineering, and NLP concepts.
Experience designing conversational workflows, chatbot use cases, and prompt strategies.
Experience integrating AI solutions with REST APIs, databases, backend systems, and enterprise applications.
Strong troubleshooting, debugging, analytical, and problem-solving skills.
Strong communication skills with the ability to work effectively with both technical and business stakeholders.
Ability to work independently and contribute quickly within an active development environment.
Ability to work in a hybrid environment.

Preferred Qualifications

Experience with Happy Robot Framework.
Strong Python development experience.
Experience with Retrieval-Augmented Generation (RAG).
Experience working with vector databases and embeddings.
Experience with AI orchestration or agent frameworks.
Knowledge of AI testing, evaluation, guardrails, and responsible AI practices.
Cloud-native application development experience.

Ideal Candidate

The ideal candidate is a hands-on AI developer with current, real-world experience delivering Conversational AI or AI bot solutions. You should be comfortable taking an AI use case from initial requirements through development, integration, testing, deployment, and continuous improvement.

We are particularly interested in candidates who enjoy building and troubleshooting solutions directly, can work independently, and are comfortable contributing to an active AI initiative with minimal ramp-up.

Start Date: ASAP

Work Environment: Hybrid

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Everforth Apex Benefits Overview: In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.

© 2026 Everforth, Inc. All rights reserved.

Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.

NYSE: EFOR

4400 Cox Road

Suite 200

Glen Allen, Virginia 23060

Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.

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More about this job

Responsibilities

Design, develop, test, and deploy AI-powered chatbots, virtual assistants, and conversational solutions, including workflows, prompts, and integrations with enterprise applications, APIs, databases, and backend systems. Monitor and optimize deployed solutions, troubleshoot issues, and collaborate with technical and business stakeholders on requirements, testing, documentation, and ongoing enhancements.

Requirements

Requires 5–8+ years of relevant technical experience and recent hands-on experience independently delivering conversational AI, bots, or agents in production or enterprise environments. Candidates should have experience with Generative AI, LLMs, prompt engineering, NLP, cloud AI services on AWS and/or Google Cloud, and integrations; Python, RAG, vector databases, and AI orchestration frameworks are preferred.

Skills

Conversational AI Development
Generative AI
Large Language Models
Prompt Engineering
Natural Language Processing
Chatbot Development
Python
AWS AI Services
Google Cloud Vertex AI
REST API Integration
Retrieval-Augmented Generation
Vector Databases
AI Orchestration
Troubleshooting
Cloud-Native Development

Benefits

Training
Certification Preparation
Technical And Leadership Courses
Certification Discounts

Visa sponsorship

Not detected in the job text

Keywords

Conversational AI
AI Bots
Virtual Assistants
AI Agents
Generative AI
Large Language Models
Prompt Engineering
Natural Language Processing
Amazon Bedrock
Amazon Lex
Amazon SageMaker
Google Cloud Platform
Vertex AI
Python
REST APIs
Databases
Enterprise Applications
Retrieval-Augmented Generation
Vector Databases
Embeddings
AI Orchestration
Agent Frameworks
AI Testing
Model Evaluation
Guardrails
Responsible AI
Cloud-Native Development
Happy Robot Framework
Deployment
Performance Optimization

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