Member of Technical Staff, AI/ML Engineering

 Design, build, and deploy AI/ML solutions with a focus on large language models (LLMs) using Python and AWS infrastructure.

• Architect scalable APIs and microservices utilizing FastAPI, ensuring robust, high-performance systems.

• Integrate LangChain and advanced AI frameworks to deliver innovative model interaction capabilities.

• Collaborate with cross-functional teams to translate complex mathematical, statistical, or physics-based problem statements into actionable engineering solutions.

• Apply core math, statistics, or physics knowledge to improve model performance, interpretability, and reliability.

• Maintain high standards of code quality, documentation, and peer reviews within a fast-paced core team.

• Communicate technical concepts and project progress clearly through both written reports and verbal discussions.

Required Skills and Qualifications:

• Advanced degree or demonstrable expertise in math, quantitative sciences, statistics, or physics.

• Expert proficiency in Python for AI/ML engineering.

• Hands-on experience deploying, fine-tuning, and integrating LLMs.

• Strong background in AWS services and cloud-native ML workflows.

• Proven track record using LangChain for chaining LLMs and orchestrating multi-step reasoning.

• Solid understanding of FastAPI for building scalable APIs.

• Exceptional written and verbal communication skills; ability to articulate complex technical topics with clarity.

Preferred Qualifications:

• Experience delivering AI/ML solutions in production environments at scale.

• Publication record or open-source contributions in AI/ML, applied mathematics, or computational science.

• Familiarity with advanced prompt engineering or AI safety best practices.