Software Engineer - AI/ML

The Conversational AI group are seeking a Software Engineer AI/ML to join the team and drive the development of cutting-edge conversational AI solutions at global scale (reaching over 7,500 organizations in 100+ countries). In this role, you will design, build, and optimize AI-driven systems while working alongside senior software and AI/ML engineers, UX designers, and product teams supporting each other to bring state-of-the-art AI technologies to production.

This is an opportunity to shape the future of AI-driven conversations and develop robust, scalable architectures for intelligent agents. And a great opportunity to work at the intersection of software engineering and AI. If you are passionate about building next-generation AI applications and have a solid foundation in software engineering, and AI development, we d love to hear from you.

What You Will Do:

• Design, develop, and maintain AI systems that power conversational interfaces.
• Assist in designing and implementing scalable AI pipelines for real-time and asynchronous interactions.
• Write clean, maintainable, and efficient code and unit tests.
• Work with APIs and microservices to integrate AI-driven solutions as part of our wider platform.
• Optimize AI models and workflows for performance, scalability, and reliability.
• Collaborate with AI researchers, data scientists, and senior engineers to bring innovative AI solutions to production.
• Learn about the latest advancements in conversational AI, agentic AI, and NLP.

What Were Looking For:

• Bachelors degree in Computer Science, Software Engineering, Data Science, or a related field with 3+ years of relevant industry experience; or a Masters/Ph.D. with 1-2 years of relevant experience preferred.
• Proficiency in Python with experience in backend development.
• Understanding of software engineering principles, system architecture, and distributed computing.
• Experience working with AI/ML frameworks ( TensorFlow , PyTorch , Hugging Face, etc.).
• Experience in fine-tuning LLMs and solid understanding of inference frameworks like vLLM
• Good knowledge of API development and microservice architecture .
• Experience with cloud platforms such as AWS , GCP , or Azure .
• Strong problem-solving skills and ability to learn in a fast-paced, collaborative environment.

Desirable Experience or an Interest in Learning:

• Experience with real-time AI-driven applications (e.g., chatbots, voice assistants, AI copilots).
• Understanding of machine learning model deployment and optimization techniques.
• Contributions to open-source AI projects, research publications, or patents in AI/ML.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.