AI/ML Engineer

Responsibilities:

 Design, develop, and implement the behavioral logic and decision-making frameworks for autonomous AI agents.

 Develop and maintain robust evaluation metrics and testing frameworks to assess agent performance and behavior.

 Conduct in-depth analysis of LLM performance and identify areas for improvement within the context of agentic tasks.

 Implement various LLM tuning techniques, including fine-tuning, prompt engineering, reinforcement learning from human feedback (RLHF), and other advanced methodologies.

 Collaborate with research scientists and other engineers to explore novel approaches in agentic AI and LLM applications.

 Contribute to the development of our AI platform and infrastructure to support the deployment and scaling of intelligent agents.

 Stay up-to-date with the latest advancements in AI, machine learning, and specifically in the areas of agentic systems and large language models.

 Document design specifications, implementation details, and experimental results.

Qualifications:

 Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

 Strong foundation in the principles of artificial intelligence, machine learning, and deep learning.

 Proven experience in designing and implementing complex software systems, preferably in the context of AI agents or robotics. Good to have – experience in building Agents using Google Gemini Vertex tool set

 Hands-on experience with large language models (LLMs) and their application to various tasks. Preference for Gemini LLMs

 Experience with LLM tuning techniques and frameworks (e.g., Hugging Face Transformers, PyTorch, TensorFlow, Vertex AI).

 Solid understanding of reinforcement learning principles and experience applying them to real-world problems (experience with RLHF is a plus).

 Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks.

 Excellent problem-solving, analytical, and debugging skills.

 Strong communication and collaboration skills, with the ability 1 to effectively convey technical concepts to both technical and non-technical 2 audiences