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AI Bot Developer / Conversational AI Engineer

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Experience
5–8+ years of experience in software development, automation, or AI solution development.
Posting language
English
Posted

Original job description

At Genpact, we don’t just keep up with technology - we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Role: AI Bot Developer / Conversational AI Engineer

Location: Toronto ON (hybrid)

We are seeking a skilled AI Bot Developer / Conversational AI Engineer with experience in designing, developing, and deploying intelligent AI-powered chatbot solutions. The ideal candidate should have hands-on expertise in leveraging AI/ML and Generative AI platforms such as AWS or Google Cloud Platform (GCP), along with strong knowledge of Prompt Engineering, Conversational AI frameworks, and chatbot development. The role requires close collaboration with product managers, developers, and business stakeholders to deliver scalable and business-focused AI solutions.

Key Responsibilities

AI Bot Development

  • Design, develop, test, and deploy AI-powered chatbots and virtual assistants using AWS, Google Cloud, or similar AI platforms.
  • Build conversational workflows and automate business processes using Generative AI and Large Language Models (LLMs).
  • Develop and optimize chatbot integrations with enterprise applications, APIs, and backend systems.

Prompt Engineering & AI Optimization

  • Create, refine, and optimize prompts to improve chatbot accuracy, relevance, and user experience.
  • Evaluate AI model responses and continuously enhance conversation flows and business outcomes.
  • Implement best practices for prompt engineering, model tuning, and response validation.

Framework & Platform Expertise

  • Work with AI development frameworks and cloud-native AI services on AWS or GCP.
  • Independently develop and enhance AI solutions leveraging the Happy Robot Framework (Desirable).
  • Support AI model deployment, monitoring, and performance optimization.

Stakeholder Collaboration

  • Collaborate closely with Product Managers, Developers, Architects, and Business Stakeholders to gather requirements and deliver AI-driven solutions.
  • Participate in design discussions, solution reviews, and development planning activities.
  • Translate business requirements into scalable AI use cases and technical implementations.

Testing, Support & Documentation

  • Perform testing, troubleshooting, and performance analysis of chatbot solutions.
  • Create and maintain technical documentation, design artifacts, and operational runbooks.
  • Support production deployments and continuous improvements of AI applications.

Required Skills & Qualifications

  • 5–8+ years of experience in software development, automation, or AI solution development.
  • Hands-on experience building AI Bots, Virtual Assistants, or Conversational AI solutions.
  • Experience with AWS AI services, Amazon Bedrock, Lex, SageMaker, or Google Cloud AI/Vertex AI platforms.
  • Good understanding of Prompt Engineering, LLMs, Generative AI, and NLP concepts.
  • Ability to independently design and develop chatbot use cases and workflows.
  • Experience integrating AI solutions with APIs, databases, and enterprise applications.
  • Strong problem-solving, analytical, and debugging skills.
  • Excellent communication and stakeholder management skills.
  • Open to working in a hybrid work environment.

Preferred Skills

  • Experience with Happy Robot Framework.
  • Knowledge of Python, REST APIs, and cloud-native application development.
  • Experience with AI testing, evaluation, guardrails, and responsible AI practices.
  • Exposure to RAG (Retrieval-Augmented Generation), vector databases, and AI orchestration frameworks.

Good to have : Decagon, Sierra , Relic or Telnyx

Why join Genpact?

  • Lead AI-first transformation – Build and scale AI solutions that redefine industries
  • Make an impact – Drive change for global enterprises and solve business challenges that matter
  • Accelerate your career - Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
  • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
  • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
  • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.

More about this job

Responsibilities

Design, develop, test, and deploy AI-powered chatbots and virtual assistants, including conversational workflows, prompt optimization, and integrations with APIs, enterprise applications, and backend systems. Collaborate with product, technical, and business stakeholders to translate requirements into scalable solutions, and support testing, production deployment, monitoring, documentation, and continuous improvement.

Requirements

Requires 5–8 or more years of experience in software development, automation, or AI solution development, with hands-on experience building conversational AI solutions and integrating them with enterprise systems. Candidates should understand prompt engineering, LLMs, generative AI, and NLP, and have experience with AWS or GCP AI platforms; Python, REST APIs, RAG, and AI evaluation practices are preferred.

Skills

  • AI Bot Development
  • Conversational AI
  • Chatbot Development
  • Prompt Engineering
  • Generative AI
  • Large Language Models
  • Natural Language Processing
  • AWS
  • Google Cloud Platform
  • Amazon Bedrock
  • Amazon Lex
  • Amazon SageMaker
  • Vertex AI
  • Python
  • REST APIs
  • Retrieval-Augmented Generation

Benefits

  • Training
  • Mentorship
  • AI Certifications

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Data & Analytics
  • Consulting

Keywords

  • AI Bots
  • Virtual Assistants
  • Conversational AI
  • Chatbots
  • Prompt Engineering
  • Generative AI
  • Large Language Models
  • Natural Language Processing
  • AWS
  • Amazon Bedrock
  • Amazon Lex
  • Amazon SageMaker
  • Google Cloud Platform
  • Vertex AI
  • Happy Robot Framework
  • Python
  • REST APIs
  • Cloud-Native Application Development
  • API Integration
  • Enterprise Applications
  • Retrieval-Augmented Generation
  • Vector Databases
  • AI Orchestration
  • AI Testing
  • Model Evaluation
  • Guardrails
  • Responsible AI
  • Model Tuning
  • Model Deployment
  • Performance Monitoring

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