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.
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.
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