Senior Software Engineer (GenAI/ML)
Design, Build and Deploy
- Architect scalable backend systems that seamlessly integrate LLMs into enterprise-grade, cloud-native infrastructure on AWS.
- Justify critical architectural decisions regarding agentic orchestration frameworks, like LangGraph and LangChain, using first-principles reasoning.
- Operationalize secure RAG pipelines, deterministic AI security guardrails, and rigorous evaluation frameworks built for production scale.
Operating in a High-Bar Environment
- Collaborate with elite peers who sustain a high bar for technical excellence, zero hand-holding, total system ownership is standard.
- Ship deterministic code directly to Fortune 500 U.S. clients where latency, extreme scalability, and reliability are your core accountabilities.
- Execute on high-impact production GenAI systems, we do not build experimental mockups, isolated internal tools, or short-lived demos.
Architect the systems that make enterprise GenAI production-ready.
Scalable Backend Architectures
Integrating Large Language Models into production-ready backend infrastructure optimized for complex enterprise workloads and high-throughput reliability.
Agentic Workflows
Designing sophisticated multi-agent architectures and cloud-native applications on AWS built to orchestrate and execute workflows autonomously at scale.
AI Security & Guardrails
Implementing runtime safety barriers, corporate compliance frameworks, and comprehensive risk assessments to guarantee strict data privacy across the system.
System-wide Observability
Deploying proactive drift monitoring, advanced APM logging, and fine-grained LLM performance tracking across every layer of the engineering stack.
Selection Process
Validate Your Foundation
Submit your application. We prioritize engineers with proven production experience, deep algorithmic skills, and the domain fluency to communicate technical trade-offs clearly in English.
Prove Your Craft
Complete a focused technical assessment, then demonstrate your mastery in live coding, machine learning fundamentals, and scalable system design.
Join the team and build the future of data and AI
Work as a full-time Factored engineer, embedded as a strategic partner in environments where your execution directly transforms real systems and impacts global users.
FAQs
Research | Our team has published at NeurIPS, ICML, NASA and more.
