Job Description
About Eightfold:
Eightfold is a global leader in AI-native enterprise talent platform, trusted by the world’s largest & most respected fortune 500 organizations. Our platform is built from the ground up operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. Backed by over $410M in funding and valued at $2B+, we are defining the next era of agentic talent systems.
What sets Eightfold apart is not just the technology & our mission, but the team behind it. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our engineers, product leaders, and go-to-market teams work closely together — in person and across functions — to build systems that scale in the real world. If you’re excited to work on hard problems, move with urgency, raise the bar every day, and help build agentic systems that transform how the world works, Eightfold is the place to do it.
Eightfold.ai is led by
Ashutosh Garg, a PhD in Machine Learning/IIT Delhi alumni who managed Search and Personalization at Google, and
Varun Kacholia-IIT Bombay alumni, who led the News Feed Ranking team at Facebook and developed YouTube Search at Google.
About the Team:
You will be joining one of Eightfold's Product Engineering teams, responsible for building and scaling our flagship Talent Intelligence platform used by leading global enterprises. Our product portfolio spans both Talent Acquisition (TA) and Talent Management (TM) solutions, which help organizations attract, hire, retain, develop, and grow their workforce through AI-powered talent intelligence.
Our engineering teams play a pivotal role in driving product innovation, platform scalability, and customer success. These teams work on solving complex enterprise challenges at scale, including:
- Reducing time-to-hire and improving recruiting efficiency for customers.
- Powering internal mobility, skills intelligence, career development, and workforce planning initiatives.
- Building and enhancing product capabilities, from new feature development to improving the maturity, performance, and reliability of existing features.
- Integrating cutting-edge AI technologies, including Large Language Models (LLMs) and agentic workflows, into our products and platform architecture.
- Modernizing and extending large-scale production systems while ensuring enterprise-grade performance, scalability, and reliability.
- Creating new product capabilities and experiences that help customers unlock the full potential of their talent ecosystem.
As part of the hiring process, candidates will be evaluated for opportunities across our Product Engineering organization. Based on business needs, candidate strengths, and interview outcomes, the final team assignment may be within either the Talent Acquisition or Talent Management product engineering team.
If you're excited about building impactful AI-powered products, solving complex engineering challenges at scale, and contributing directly to Eightfold's growth and success, we'd love to hear from you.
What You'll Learn To Do:
- Develop robust, scalable, and configurable server-side applications and modules with an emphasis on quality, performance, design, and re-usability.
- Design and develop new microservices or integrate applications with existing ones.
- You will also get the opportunity to work on the latest Generative AI/LLMs as we are actively leveraging them in our workflows
- Design and develop safe and reliable data pipelines for high-scale data integration for the fortune 500 customers.
- Build for customization and generalization powered by configuration management.
- Improve code coverage and drive up the automated unit and selenium testing.
- Develop and improve internal tools for effective administration, monitoring, and altering.
What We Look For :
- A solid grounding in Computer Science fundamentals with hands-on experience in back-end development of 3 to 6 years. (extra points for skills in Python and React.Js)
- Sound foundation in distributed systems, and microservices.
- Familiarity with modern AI-assisted development tools such as Cursor, or similar to accelerate coding workflows.
- Experience in building, launching, and maintaining SaaS products.
- Cares about the details in the User experience and is highly driven to solve real problems for millions of Users
- Communicates and collaborates effectively across teams
- Excellent problem-solving and trouble-shooting skills and debugging in cloud environments and/or SaaS products.
We are a team of self-starters who excel in their fields. We believe in giving you responsibility, not a task. We want you to have ownership and pride in your work and see your work's positive impact on your colleagues, our customers, and the world. We believe in providing transparency and support so you can do the best work of your career.
