ML Engineer – Generative AI & LLMs

Seeking a Machine Learning Engineer to build cutting-edge systems with LLMs and real-world data. You will work closely with clients and teammates to design, prototype, and productize scalable ML solutions. The role emphasizes rapid prototyping and productionizing tools, with a strong focus on LLM engineering in a collaborative consulting environment.

• Design, prototype, and productize scalable machine learning solutions using LLMs and real-world data.
• Work closely with clients and teammates to gather requirements and deliver production-ready systems.
• Rapidly build cutting-edge tools and research ideas, then turn prototypes into production services.

• Expertise in LLM engineering and familiarity with popular LLM providers and best practices.
• Hands-on experience with statistics and machine learning.
• Comfortable with the Python ML stack: Pandas, NumPy, scikit-learn, XGBoost, PyTorch.
• Proficient with development tools such as Git, Docker, SQL, Bash, and FastAPI.
• Strong analytical mindset and business acumen.
• Bachelor's degree or higher in Computer Science or a related engineering field.

• Experience building or working with agentic systems (tool use, memory, planning, multi-agent coordination).