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The Role
Build and scale ML/NLP features and microservices: design and deploy LLMs, RAG and semantic search pipelines, process documents, integrate ML services with backend APIs, participate in code reviews, and collaborate with product and development teams in an agile environment.
Summary Generated by Built In
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
What You’ll Do
- As a Software Engineer, you will help scale our Coupa platforms as we expand and find the right balance between the power of a consolidated codebase and flexibility of microservice.
- You will collaborate with Product and Development teams to build new features and find creative and elegant solutions to complex problems.
- You will have the ability to participate in code reviews to create robust and maintainable code and work in an agile environment where quick iterations and good feedback are a way of life.
What You Will Bring to Coupa
- NLP & ML Engineering: Hands-on 2-4 years of experience with Python, Hugging Face Transformers, PyTorch, scikit-learn, sentence embeddings, and LLMs. Must be comfortable deploying and fine-tuning LLMs in production environments (preferably with GPU/CUDA experience). Strong understanding of retrieval-augmented generation (RAG) architectures, vector similarity search, and embedding models. Experience working with LLMs, prompt engineering, tool calling, and implementing semantic search pipelines for document processing and retrieval.
• Python Backend Development: Proficient in FastAPI, PostgreSQL, vector databases, and Docker containerization. Ability to build scalable ML microservices that integrate with REST APIs, handle document processing (PDF, DOCX, PPTX).
• Conversational AI & MLOps Foundations: Strong understanding of multi-turn dialogue systems, conversation state management, and agentic architectures (tool use, planning, memory). Knowledge of MLOps best practices including model versioning, experiment tracking (MLflow, Weights & Biases), performance monitoring for conversational models, conversational model testing and validation. Familiarity with Model Context Protocol (MCP) and designing agent-based systems is highly desirable. - Critical thinker with a curious, passionate and growth-oriented mindset
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
Skills Required
- 2-4 years hands-on experience with Python
- Experience with Hugging Face Transformers
- Experience with PyTorch
- Experience with scikit-learn
- Experience with sentence embeddings and embedding models
- Experience working with LLMs, including prompt engineering and tool calling
- Deploying and fine-tuning LLMs in production environments
- GPU/CUDA experience
- Strong understanding of retrieval-augmented generation (RAG) architectures
- Experience with vector similarity search and vector databases
- Ability to implement semantic search pipelines for document processing and retrieval
- Proficient in FastAPI
- Proficient in PostgreSQL
- Docker containerization experience
- Ability to build scalable ML microservices integrating with REST APIs
- Experience handling document formats (PDF, DOCX, PPTX)
- Strong understanding of multi-turn dialogue systems and conversation state management
- Familiarity with agentic architectures (tool use, planning, memory)
- Knowledge of MLOps best practices including model versioning and experiment tracking
- Experience with MLflow or Weights & Biases
- Performance monitoring, testing, and validation for conversational models
- Familiarity with Model Context Protocol (MCP)
What the Team is Saying
Aditya Maheshwari
Sr. Software Engineer, Cloud
Alex Moon
Operations Analyst, Order Management
Jose Miguel Jimenez
Procurement
Jessica Fonseca
Technical Support Specialist
Daniela Aristizábal
Associate Planning & Operations Analyst
Coupa Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental‑health resources from day one. Plan breadth and wellness support are consistently emphasized.
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Leave & Time Off Breadth — Time off includes flexible or unlimited PTO, paid parental leave, floating holidays, and dedicated volunteer time. Remote‑friendly practices are noted to support taking time away.
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Parental & Family Support — Family‑building and caregiving supports include fertility benefits, generous parental leave, and resources for adoption and elder care. Return‑to‑work assistance and an onsite Mother’s Room are highlighted.
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The Company
What We Do
Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.
Why Work With Us
At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.
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Coupa Offices
Remote Workspace
Employees work remotely.
Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend
Typical time on-site:
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Bangalore office
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Dubai, Dubai 48800
Hyderabad office
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Shivaji Nagar, IN
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Uppsala, SE
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