Senior Software Engineer - AI Platform

About the Company

Role Summary

Responsibilities

• Architect scalable intelligent agents that use LLMs to automate workflows and improve user experiences.
• Define the strategy for integrating LLMs with the software ecosystem.
• Identify and prioritize cognitive automation opportunities such as extraction, summarization, and question answering.
• Own critical machine learning-powered tools from conceptualization and design through implementation and deployment.
• Establish engineering standards for production-grade distributed ML solutions.
• Research emerging trends in machine learning, AI agents, and distributed systems.
• Collaborate with ML engineers, product teams, and senior leadership to align teams and deliver solutions.
• Mentor senior engineers and technical leads.

Qualifications

• Bachelor’s, Master’s degree, or Ph.D. in computer science, machine learning, or a related field.
• 8+ years of software engineering experience focused on large-scale distributed systems.
• Extensive experience building and deploying complex LLM-based agentic applications in production.
• Proficiency in Python or a similar programming language and expertise with cloud and container frameworks such as AWS and Kubernetes.
• Experience designing scalable, fault-tolerant, and observable distributed systems.
• Expert understanding of machine learning principles, algorithms, evaluation metrics, and distributed-systems practices.
• Experience leading scalable backend software through design, deployment, and production operation.
• Strong communication, teamwork, influence, and cross-functional alignment skills.

Preferred Qualifications

• Golang expertise is strongly preferred.
• Interest in advances in machine learning and natural language processing.

Total Rewards

• Full-time positions may participate in an annual company performance bonus program; payments are discretionary and not guaranteed.
• The role is eligible for equity in the form of Restricted Stock Units, subject to applicable approvals and plan terms.
• Full-time employees receive benefits that may include health coverage, retirement savings, time off, and family planning programs.