Eightfold AI

Lead Engineer, Backend and Machine Learning

Bengaluru, Karnataka
Python Machine Learning AI LLM Microservices API AWS Azure
Description

Lead Engineer- Backend + ML

Location: Bengaluru, Karnataka, India

Department: Engineering

Work Location: hybrid

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.

You may want to refer to the media coverage on TechCrunch and Reuters.
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 :
This role is for the 'Talent Management' platform.
Talent Management is one of Eightfold's flagship products.
Eightfold’s Talent Management platform powers internal mobility, skills intelligence, and workforce planning for global enterprises. The platform operates at scale across Fortune 500 customers and supports mission-critical talent workflows.
We are evolving the platform toward an AI-native architecture. This role is central to that transformation while also ensuring the stability, performance, and scalability of our existing enterprise product lines.
You will modernize and extend a large-scale production system while building the next generation of AI-powered capabilities on top of it.

What You'll Do:
  • Lead the projects/PODs end-to-end. Lead the design discussion by working closely with the product managers, designers, and other cross-functional teams.
  • Write clean, maintainable, and well-tested code.
  • Design and build LLM-powered workflows, including retrieval-augmented generation (RAG), agent-based behaviors, and tool-integrated orchestration.
  • Design, build, and maintain scalable backend services powering the current Talent Management product suite.
  • Ensure reliability, performance, and operational excellence across production systems.
  • Mentor the juniors by performing code reviews and raising the technical bar across the team.

What We Need:
  • A solid grounding in Computer Science fundamentals with hands-on experience in back-end development of 5 to 10 years.
  • Hands-on experience leading the projects/features/POD
  • Hands-on experience integrating LLMs or ML-powered features into real-world applications with a good understanding of embeddings, vector search, retrieval strategies, and inference patterns.
  • Familiarity with modern AI-assisted development tools, such as Cursor or similar, to accelerate coding workflows.
  • Sound foundation in distributed systems and microservices.
  • Passionate about designing, building, launching, and maintaining products
  • Cares about the details in the user experience
  • Ability to develop software/code in any one mainstream programming language (brownie points if you know Python)
  • Communicates and collaborates effectively across teams

Engineering culture at Eightfold:
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.
Eightfold AI
Eightfold AI

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