---
title: 'LLMops Engineer at Coursera'
canonical: 'https://feeny.ai/job/llmops-engineer-coursera-india-645fgk3kyg2f'
type: 'job'
last_seen: '2026-10-14'
---

# LLMops Engineer at Coursera

- **Company:** Coursera
- **Location:** India
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-14
- **Apply:** https://job-boards.greenhouse.io/coursera/jobs/6212857004

## Job description

## About Coursera + Udemy

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our [blog](https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/).

Why join us now?

AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape what comes next

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

About the Team (Job Location - Pune) :

As an AI Platform and LLMOps Engineer, you will join a fast-paced innovation team at Coursera working on AI enablement for our organization and customers. As an internal focus area, this team builds and maintains the infrastructure & tooling required to drive meaningful AI adoption across the organization, providing a platform for non-technical team members to build and deploy tools and transforming entire business functions into AI-native operating models. As a customer-facing focus area, this team builds custom AI-powered solutions tailored for our enterprise customers supporting them in their journey of AI adoption and upskilling beyond just the content on our platforms.

You will own the operational backbone that lets our agentic AI systems run reliably in production — from prompt and pipeline versioning to evaluation, monitoring, incident and cost management. You will work closely with a cross-functional team of Software Engineers, AI Specialists and Product Managers – helping turn promising AI prototypes into reliable, observable, and cost-effective production systems.

## Key Responsibilities

- Build and maintain the operational tooling for our LLM-powered systems, including prompt/pipeline versioning, evaluation harnesses, and CI/CD workflows tailored to non-deterministic AI outputs
- Implement monitoring and observability for production LLM systems — tracking latency, token usage, cost per request, output quality, and drift over time
- Design and run automated evaluation suites to catch regressions, hallucinations, and quality degradation before they reach customers
- Manage RAG pipelines and vector store infrastructure, keeping retrieval sources fresh, accurate, and performant
- Implement safety and compliance guardrails — content filtering, PII redaction, and access controls — in line with enterprise data privacy and residency requirements
- Own cost governance for LLM usage: caching strategies, model routing, and usage reporting to keep spend predictable as adoption scales
- Collaborate closely with Product Managers and Senior Engineers to scope operational requirements and translate them into reliable systems
- Participate in sprint planning, technical grooming, and retrospective discussions

Education

- Bachelor’s or Master’s degree in Computer Science, Computer Engineering or a related field

## Basic Qualifications

- 4+ years of experience in a software engineering role, with a solid background in Backend Engineering and DevOps fundamentals
- Hands-on experience operating or supporting LLM-powered systems in production (via APIs, RAG pipelines, frontier/open weight/fine-tuned models)
- Proficiency in a backend language such as Python, Java, TypeScript or Go, and familiarity with Docker and container orchestration (Kubernetes)
- Experience implementing APIs, working with SQL and NoSQL databases, and writing automated tests
- Working knowledge of at least one cloud platform (AWS, GCP, or Azure), across both managed and self-hosted services
- Familiarity with infrastructure-as-code (e.g., Terraform) and CI/CD tooling (e.g., GitHub Actions, Jenkins)
- Comfort debugging production issues involving non-deterministic systems, with attention to detail and a bias towards reliability
- Strong belief in engineering quality and building tooling that creates leverage for others

## Preferred Qualifications

- Experience with LLMOps-specific tooling such as LangFuse, LangSmith, Weights & Biases-style evaluation frameworks, or vector databases like Pinecone, Weaviate, pgvector
- Working knowledge of RAG architectures, MCP implementation & governance, agent orchestration frameworks like LangGraph and LLM Gateways such as LiteLLM, Open Router & enterprise AI ecosystems such as Vertex AI, Bedrock
- Exposure to prompt management and versioning practices treated as code along with model access management, deterministic guardrails and evals
- Understanding of AI governance considerations — data privacy, residency, and compliance in enterprise AI deployments
- Ability to work in a fast-paced, ambiguous environment with a proactive, ownership-driven mindset
- Strong communication skills and comfort collaborating across engineering, product, and strategy functions

Why Join Us?

- Work at the operational core of Coursera's AI transformation — solving problems that keep real production AI systems reliable, safe, and cost-effective
- Build hands-on expertise in one of the fastest-growing and most in-demand engineering disciplines
- Join a supportive, innovative team with a strong culture of continuous learning and improvement
- Be part of a mission-driven company transforming global access to education and upskilling in the AI era

For more information about how Coursera collects and uses your personal information, please see our [Coursera + Udemy Global Applicant Privacy Notice](https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Global%20Applicant%20Privacy%20Notice.pdf).

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our [Fraudulent Activity Submission Form.](https://forms.gle/Mb8UktwuaJAukb3H7)

Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.

## About Coursera

## Company Overview
- **One-liner**: Coursera is a global online learning platform that partners with leading universities and companies to offer courses, certificates, and degrees, enabling individuals and organizations to build job-relevant skills.
- **Entity Type**: Public (NYSE: COUR)
- **Headquarters**: Mountain View, California, USA
- **Founded**: 2012
- **Founders**: Andrew Ng and Daphne Koller

## Core Business
- **Primary industry**: EdTech, online learning, professional development and credentialing
- **Target customers**: B2C (individual learners), B2B (enterprises and teams via Coursera for Business), B2G (governments and institutions)
- **Mission**: “To provide universal access to world-class learning” [coursera.org](https://www.coursera.org/about)

## Products & Services
- **Courses & Specializations**: Free and paid online courses across AI, data science, business, health, and more, often with shareable certificates.
- **Professional Certificates**: Job-aligned programs co-created with employers like Google, IBM, and Microsoft (e.g., Google Cybersecurity, IBM Data Analyst).
- **Online Degrees**: Bachelor’s and master’s degrees from accredited universities in fields such as computer science, data, and business.
- **Coursera Plus**: Annual subscription offering unlimited access to most courses, Specializations, and Professional Certificates.
- **Coursera for Business (Teams & Enterprise)**: Enterprise learning platform with analytics, skills benchmarking, and tailored workforce training. [coursera.org](https://www.coursera.org/)
- **AI-Powered Features**: Coach (personalized guide), Role Play, Course Builder, and Skills Tracks — all designed to deliver scalable, personalized learning.
- **Udemy Merger (Pending)**: In December 2025, Coursera announced a definitive agreement to combine with Udemy, creating one of the world’s most comprehensive skills development platforms (all-stock transaction, subject to approvals). [investor.coursera.com](https://investor.coursera.com/news/news-details/2026/Coursera-Reports-Fourth-Quarter-and-Full-Year-2025-Financial-Results/default.aspx)

## Market Standing
- **Valuation/Market Cap**: Not publicly available in provided sources (public company; market cap fluctuates and is not disclosed in the search results).
- **Key Metric**: Full-year 2025 revenue of $757 million (up 9% YoY). Guidance for 2026: $805–815 million. [investor.coursera.com](https://investor.coursera.com/news/news-details/2026/Coursera-Reports-Fourth-Quarter-and-Full-Year-2025-Financial-Results/default.aspx)
- **Notable Investors/Partners**: Over 375 university and industry partners including Google, IBM, Microsoft, Stanford, Yale, and Anthropic. Key shareholders: New Enterprise Associates (NEA) and Andrew Ng (Chairman).
- **Growth Signals**: 197 million registered learners as of Dec 31, 2025; 93% net retention rate for paid enterprise customers; Q4 2025 revenue growth of 10% YoY; India development center expected to drive 33% of product innovation by 2027; merger with Udemy to expand reach.

## Competitive Advantages
- **Trusted Credentials**: Courses and certificates issued directly by top universities and industry leaders (Google, IBM, etc.), widely recognized by employers.
- **AI-Powered Personalization**: Generative AI features (Coach, Role Play, Course Builder) differentiate the learning experience.
- **Scale & Catalog**: One of the largest online learning catalogs globally, covering high-demand fields like GenAI, data science, and cybersecurity. [coursera.org](https://www.coursera.org/)
- **Public Benefit Corporation & B Corp**: Demonstrates commitment to social impact and accessible education.

## Strategic Focus
- **AI Integration**: Continuing to embed AI across the platform to improve learning outcomes and instructor/partner tools.
- **Udemy Combination**: Completing the merger with Udemy to create the most comprehensive skills platform for both individual learners and enterprises.
- **India Expansion**: Building a cross-functional development center in India (product, engineering, data, design) to drive local and global innovation. [careers.coursera.com](https://careers.coursera.com/india-tech-jobs)
- **Enterprise & Government Upskilling**: Scaling Coursera for Business to serve larger organizations and public sector clients worldwide.

## Why Work Here
- **Culture & Impact**: Mission-driven environment focused on transforming lives through learning. Annual “Make-A-Thon” encourages innovation across teams.
- **Career Growth**: Extensive careers rubric, opportunities to work on high-impact projects, and early influence in new geographies (e.g., India Tech Jobs).
- **Remote/Hybrid Policy**: Not explicitly defined in provided materials, but roles are located in Mountain View (HQ) and India (Delhi/NCR); likely offers hybrid or remote flexibility.
- **Engineering & Product Teams**: Cross-functional setup in India covering enterprise payments, machine translations, API platform, and notifications — with autonomy to execute independently. [careers.coursera.com](https://careers.coursera.com/india-tech-jobs)
- **Diverse Roles**: Current openings include Content Production Manager, Instructional Designer, Learning Designer, Degree Program Operations Specialist, and more. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/coursera)

## Sources
1. [coursera.org](https://www.coursera.org/about) – About Coursera
2. [coursera.org](https://www.coursera.org/) – Main site (product details, FAQs)
3. [investor.coursera.com](https://investor.coursera.com/news/news-details/2026/Coursera-Reports-Fourth-Quarter-and-Full-Year-2025-Financial-Results/default.aspx) – Q4 & FY2025 Financial Results
4. [careers.coursera.com](https://careers.coursera.com/india-tech-jobs) – India Tech Jobs page (development center info)
5. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/coursera) – Careers page (open positions)

## Other roles at Coursera

- [Enterprise Agentic AI Architect](https://feeny.ai/job/enterprise-agentic-ai-architect-coursera-india-q6qwa8y5apat) — India
- [Account Development Representative](https://feeny.ai/job/account-development-representative-coursera-singapore-7vvx03d3h6my) — Singapore
- [Accounts Payable Specialist (Gurugram)](https://feeny.ai/job/accounts-payable-specialist-gurugram-coursera-india-xzz5aas17g7c) — India
- [Senior Software Engineer, Applied AI & Customer Solutions](https://feeny.ai/job/senior-software-engineer-applied-ai-customer-solutions-coursera-toronto-jxvnz1e597qx) — Toronto, Canada
- [Senior Software Developer, BE](https://feeny.ai/job/senior-software-developer-be-coursera-toronto-dcn4b0me44s8) — Toronto, Canada
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