
Generative AI Engineer
2 weeks ago
Who We Are
We're a forward-thinking team passionate about harnessing the power of Generative AI to drive innovation and solve real-world problems. We value curiosity, creativity, and continuous learning, and we're committed to staying at the forefront of AI advancements.
What You'll Be Doing
- Designing and implementing Generative AI solutions with a focus on practical applications and innovation.
- Leading the development of an agentic chatbot use case, including both PoCs (from a blank sheet of paper) and delivery of features into a pre-existing platform.
- Connecting the chatbot to enterprise systems such as MyTech (SNOW), MyHR (Oracle), and internal knowledge bases.
- Using Co-pilot Studio where possible, and switching to pro-code solutions when needed.
- Writing Python functions to extend Co-pilot capabilities and support integration logic.
- Collaborating with cross-functional teams and managing stakeholders to define requirements and design scalable AI solutions.
- Supporting programme delivery through coordination, ticket writing, low-level design (LLD), and code reviews.
- Engineering and preparing datasets for model training and evaluation.
- Writing clean, well-documented, and testable code for AI pipelines and applications.
- Staying current with GenAI trends and contributing to internal knowledge sharing.
- Supporting governance, compliance, and risk processes related to AI development.
What You'll Bring Along
- Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Statistics) or equivalent practical experience.
- Minimum 5 years of experience in a similar role.
- Strong understanding of Generative AI concepts and large language model (LLM) architectures.
- Proficiency in Python, including writing functions for Co-pilot Studio and general AI development.
- Experience with ML/AI libraries such as PyTorch, TensorFlow, and Hugging Face Transformers.
- Familiarity with data manipulation tools like SQL and Pandas.
- Experience with Azure (preferred) or AWS, and cloud-native ML tools.
- Exposure to visualization tools like Power BI or Tableau is a plus.
- Experience with Co-pilot Studio or similar tools is a bonus, but not required.
- A problem-solving mindset and a passion for building innovative AI solutions.
- Ability to manage stakeholders and coordinate delivery teams effectively.
- Excellent command of both spoken and written English.
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