Roles & Responsibilities:

- Work as an AI engineer within the engineering team and own the AI components of the product

- Design and implement experiments to strategically improve AI technology

- Be involved in handling customer support requests to identify issues and future improvements for the AI components of the product

- Mentor and guide the developers in your team on AI techniques.

- Stay current on industry trends and advancements in AI research and technology.

Must Have Skills:

- Hands-on experience in AI development.

- Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects running in production

- Proficiency in programming languages such as Python.

- Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for AI / ML projects.

- Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.

- Hands-on experience with Context Engineering, Fine-Tuning (e.g. LoRA), Retrieval-Augmented-Generation (RAG), Multi-Agent Patterns or other GenAI techniques.

- Experience with AI / ML frameworks and tools like LangChain, Spring AI, LlamaIndex, AutoGen, Crew.AI, LangFuse, AWS Bedrock / SageMaker.

- Experience with version control systems like Git, enabling effective collaboration and code management.

- Strong problem-solving skills and the ability to think critically and analytically.

- A passion for staying updated with the latest advancements in AI research and technology.