Signify

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world.

More about the role

Job Description: Technical Engineer – Virtual Chatbot Team

Role Overview:

The Technical Engineer will support the development, enhancement, and operations of the enterprise Virtual Chatbot platform. This role focuses on building conversational capabilities, integrating systems, maintaining platform stability, and enabling new use cases. The engineer will work closely with the Virtual Chatbot Lead, product teams, SMEs, and automation squads to deliver high‑quality chatbot experiences.

Key Responsibilities:

1. Chatbot Development & Configuration

• Build and maintain conversational flows, intents, entities, prompts, and logic.
• Configure LLM powered components and optimize responses for accuracy and relevance.
• Implement enhancements based on user feedback, analytics, and new requirements.

2. Integration & Automation

• Develop and maintain API integrations between the chatbot and enterprise platforms (ITSM, HR, Operations, workflow engines, etc.).
• Support automation use cases, including GenAI based and hyperautomation scenarios.
• Troubleshoot integration failures and ensure end to end functionality.

3. Platform Support & Operations

• Monitor chatbot performance, logs, and system health.
• Resolve defects, improve stability, and ensure timely issue resolution.
• Maintain documentation, configuration records, and release notes.

4. Knowledge & Content Management

• Update and validate knowledge articles and chatbot content.
• Collaborate with SMEs to ensure information accuracy and clarity.
• Standardize tone, format, and compliance across all chatbot responses.

5. Quality Assurance

• Conduct testing for new features, intents, integrations, and releases.
• Validate conversation flows, AI outputs, and operational behavior.
• Assist in creating test plans, regression suites, and user validation cycles.

6. Collaboration & Continuous Improvement

• Work with product owners, engineers, automation teams, and business stakeholders.
• Provide insights using analytics to boost containment, accuracy, and user experience.
• Explore new tools, LLM features, and AI capabilities to enhance the platform.

Your qualifications

• Bachelor’s degree in Computer Science, IT, or equivalent.
• 2–5 years of experience in chatbot development or application engineering.
• Hands-on experience with Conversational AI platforms (Copilot Studio, Azure OpenAI, Dialogflow, etc.).
• Working knowledge of REST APIs, JSON, and scripting (Python/JS preferred).
• Good understanding of NLP/NLU basics and prompt engineering.
• Strong analytical, problem‑solving, and communication skills.

Everything we’ll do for you

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.

Come join us, and together we can light up the future.