Benjamin Sergent
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Systems Architect shaping both production LLM systems and how engineering orgs build with AI | Remote
I take LLM systems from research to reliable production, and I shape how engineering organizations build with AI while doing it. The work across Meta, Amazon, Stability AI, Postscript, and TeamSense has a consistent shape: the gap between "the model works in a notebook" and "the system works for users at scale." At Postscript and TeamSense, that expanded into organizational scope. The AI-assisted development workflows, evaluation standards, and code review norms I introduced became the default across both engineering orgs, shaping how every engineer ships AI features, not just the ones I work with directly. My strongest contributions tend to operate at two levels simultaneously: product systems (multi-agent orchestration, evaluation frameworks that catch behavioral drift before it ships) and the engineering practices that determine whether an organization can actually build on AI sustainably. A deliberate career pattern of entering AI subfields before they consolidate, which compounds. Early-stage technical ambiguity and optimizing internal organizational patterns around AI is where I do my best work.
Georgia Institute of Technology
Master's degree, Computer Science
January 1, 2019 – January 1, 2022
California State University Channel Islands
Bachelor’s Degree, Computer Science
N/A – Present
TeamSense
Lead Generative AI Engineer
January 1, 2025 – April 1, 2026
Los Angeles Metropolitan Area · Remote
Postscript
Staff Software Engineer
December 1, 2023 – November 1, 2024
Los Angeles Metropolitan Area · Remote
Stealth Startup
Founding Software Engineer
July 1, 2023 – December 1, 2023
Los Angeles Metropolitan Area · Hybrid
Stability AI
Senior Software Engineer
December 1, 2022 – March 1, 2023
Los Angeles Metropolitan Area · Remote
Amazon
Senior Software Engineer
May 1, 2022 – December 1, 2022
Los Angeles Metropolitan Area · Remote
Meta
Senior Software Engineer
June 1, 2021 – May 1, 2022
Los Angeles Metropolitan Area · Remote
Fastly
Senior Software Engineer
October 1, 2020 – March 1, 2021
Fastly
Senior Software Engineer
August 1, 2019 – October 1, 2020
Imbellus
Lead Artificial Intelligence Engineer
May 1, 2018 – August 1, 2019
Los Angeles Metropolitan Area · Hybrid
DAQRI
Lead Software Engineer
February 1, 2015 – May 1, 2018
Los Angeles Metropolitan Area · On-site
RMC Integration
Lead Software Engineer
February 1, 2013 – February 1, 2015
Camarillo, CA · On-site
Cultural Fit Analysis
The candidate has worked across various company sizes, from startups to large enterprises (Amazon, Meta, Stability AI), and in diverse domains (HR tech, e-commerce, AR, gaming, content moderation). This breadth of experience suggests adaptability and a strong cultural fit for dynamic environments. Their focus on establishing best practices and driving organizational change indicates a proactive and influential approach, which can be highly beneficial for a senior role. The consistent progression into leadership and specialized AI roles demonstrates a clear career trajectory and commitment to the field.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Lead Generative AI Engineer, Lead AI Engineer, Lead Software Engineer) and a focus on establishing engineering standards and workflows, indicating strong leadership, communication, and operational skills. Their experience in cross-functional collaboration (product, data science, infrastructure) suggests good team collaboration and strategic thinking. The descriptions also show a proactive approach to problem-solving and process improvement.