About the Role

Eightfold is building the next generation of Agentic AI products that help millions of people and enterprises make better talent decisions. We're looking for an AI Product Sustainability Engineer to help strengthen, scale, and evolve our existing AI-powered product lines used by enterprise customers globally.

This role focuses on the long-term sustainability, reliability, and evolution of AI-powered enterprise products operating at global scale. You will develop deep expertise in our products, architecture, customer deployments, and operational workflows to ensure our platforms remain scalable, resilient, and continuously improving.

You'll work closely with TM Engineering, Product, Customer Success, and AI/ML teams to solve complex production challenges, deliver customer-driven enhancements, improve operational health, and integrate new AI-native capabilities into existing products.

This is a hands-on software engineering role focused on owning systems in production and continuously improving them through strong engineering, product thinking, and operational excellence.

What You'll Do

Develop deep understanding of Eightfold's product architecture, customer workflows, and operational dependencies
Investigate, debug, and resolve complex production issues across frontend, backend, APIs, integrations, workflows, and distributed systems
Drive customer escalation resolution through deep technical investigation and cross-functional collaboration
Deliver customer enhancement requests and product improvements with speed and high quality
Build features and platform capabilities that improve robustness, scalability, usability, and customer experience
Improve observability, monitoring, diagnostics, automation, and overall operational health of production systems
Perform root-cause analysis and implement long-term fixes for recurring operational issues
Participate in incident response, release readiness, operational reviews, and production quality initiatives
Help operationalize newly launched AI and agentic capabilities into existing enterprise products
Contribute to engineering best practices around scalability, reliability, maintainability, deployment quality, and operational excellence
Build tooling and automation that improve engineering productivity and reduce operational overhead.

What We're Looking For

2+ years of professional software engineering experience
Strong experience building backend or full-stack applications
Proficiency in Python and at least one other language (Java, Go, or TypeScript)
Strong debugging and problem-solving skills in production environments
Experience working with APIs, distributed systems, cloud infrastructure, and backend services
Ability to troubleshoot complex issues across multiple system layers
Strong software engineering fundamentals including testing, debugging, performance optimization, and system design
Ability to balance rapid execution with long-term engineering quality and platform health
Strong ownership mindset with focus on reliability, operational excellence, and customer impact
Excellent communication and cross-functional collaboration skills

Nice to Haves

Experience with sustaining engineering, production engineering, or site reliability engineering
Familiarity with LLMs, agentic systems, orchestration frameworks, or workflow automation
Exposure to RAG architecture design and evaluation
Experience with observability and monitoring tools such as Grafana, Datadog, Splunk, or ELK
Experience supporting enterprise SaaS products at scale
Experience working in AI-first or fast-moving product organizations

Why Eightfold

Work on enterprise-scale AI-native products used globally by leading organizations
Solve complex real-world production and operational challenges
Own systems deeply and influence how products evolve after launch
Build scalable, reliable, and operationally excellent AI-powered systems
Work in a fast-moving environment where engineering ownership and execution matter

Tech Stack

Languages & Frameworks
Python, Flask, React, TypeScript, Webpack, NextJS
Data & Infrastructure
MySQL, Solr, Apache Airflow, Apache Spark, Docker
Cloud Services
AWS services including Aurora, S3, Redshift, CloudFormation, SNS, and SQS
AI & ML
Extensive use of ML models, LLMs, retrieval systems, and agentic AI workflows