Backend Software Engineer

This role designs, builds, and scales the backend infrastructure for the AI detection platform, owning reliability, performance, and observability. Requires 5+ years of backend experience, proficiency in Python/Django, deep understanding of backend architecture patterns, and hands-on AWS experience.

This Forward Deployed Engineer role focuses on building and deploying AI systems for legal work, embedding with law firms and legal teams to identify high-value use cases and rapidly prototype solutions. The engineer will own technical work from discovery through production adoption, building full-stack systems and translating customer workflows into product feedback. Requires 5+ years of software engineering experience with customer-facing ownership in regulated industries, and experience deploying LLM-powered systems.

This Forward Deployed Engineer role focuses on building and deploying AI systems for legal work, embedding with law firms and legal teams to identify high-value use cases and rapidly prototype solutions. The engineer will own technical work from discovery through production adoption, building full-stack systems and translating customer workflows into product feedback. Requires 5+ years of software engineering experience with customer-facing ownership in regulated industries, and experience deploying LLM-powered systems.

This role involves developing backend services for LlamaIndex's AI-powered document processing platform. Core challenges include building robust APIs, integrating with AI models, and ensuring high performance. The tech stack likely includes Python, cloud services, and database systems.

Owns end-to-end product surfaces with a significant focus on the new Digital Twins/Simulations Lab, a 0-to-1 product. Translates complex technical systems (models, data pipelines) into intuitive, trustworthy experiences for researchers. Works closely with founders, scientists, and engineering, using modern AI design tools like Codex and Claude Design alongside Figma.

Combines analysis with automation, using AI tools as a core part of the workflow to turn Outset's internal data into decisions faster. Answers recurring business questions across GTM, People, Product, and Engineering using SQL and Python, and builds small internal tools like scripts, Slack bots, and dashboards to eliminate manual reports. Requires 3+ years of experience, fluency in SQL/Python, and a builder's instinct for automating processes.

This Research Scientist role designs and runs studies to measure and improve the fidelity of Outset's digital twin AI systems, comparing their responses to real human behavior. The scientist will co-design experiments, develop performance metrics, oversee human rating studies, and apply advanced statistical techniques from survey methodology and computational social science. The role requires a PhD in a related field and involves co-authoring papers and specifying analyses for engineering implementation.