Senior AI Engineer - 10307
Pune, India
Coupa Software, Inc.
See all of your business spend in one place with Coupa to make cost control, compliance and anything spend management related easier and more effective.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.
The Impact of Senior AI Engineer to Coupa:XXXX
What you will do:
- Collaborate closely with product managers, engineers, and cross-functional stakeholders to define metrics and outcomes for AI-driven product features and capabilities.
- Design, develop, and deploy sophisticated AI models, agents, and intelligent assistants leveraging Large Language Models (LLMs), including both language processing and advanced reasoning tasks.
- Engineer robust, scalable, and reliable prompt-based solutions to effectively integrate LLMs into production-grade SaaS applications.
- Implement experimentation frameworks, conduct rigorous evaluations, and iterate rapidly based on user feedback and data-driven insights.
- Establish automated monitoring and quality assurance mechanisms for continuous evaluation and enhancement of model performance.
- Provide strategic vision and technical leadership to navigate evolving trends and emerging methodologies within AI, particularly focusing on leveraging generative AI capabilities.
What you will bring to Coupa:
- Strong analytical and problem-solving skills focused on creating impactful AI-driven product experiences.
- Proven expertise in Python for developing, deploying, and optimizing complex AI models and pipelines.
- Extensive experience with Large Language Models (e.g., GPT-4o, Claude, LLaMA), including prompt engineering, fine-tuning, and evaluating performance.
- Solid understanding of various machine learning paradigms (supervised, unsupervised, reinforcement learning) and practical experience deploying these methods at scale.
- Deep knowledge of reasoning frameworks, agent architectures, retrieval-augmented generation (RAG), and related AI techniques.
- Excellent proficiency in modern data architectures and experience with distributed data frameworks (e.g., Spark, Hadoop).
- Familiarity with cloud infrastructure (AWS, Azure, GCP) for deploying scalable AI/ML services.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- A strong drive to stay abreast of cutting-edge AI research and proactively integrate relevant innovations into production systems.
- 2+ years of experience building, deploying, and managing AI/ML models in production environments.
- Educational background in Computer Science, Data Science, Statistics, Mathematics, or related fields, or equivalent professional experience.
- Experience with modern ML and AI development tools (e.g., Hugging Face, LangChain,
- PyTorch, TensorFlow) and visualization platforms (e.g., Streamlit, D3, Plotly, Matplotlib)
Please be advised that inquiries or resumes from recruiters will not be accepted.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Claude Computer Science D3 Engineering GCP Generative AI GPT Hadoop LangChain LLaMA LLMs Machine Learning Mathematics Matplotlib ML models Pipelines Plotly Privacy Prompt engineering Python PyTorch RAG Reinforcement Learning Research Spark Statistics Streamlit TensorFlow
Perks/benefits: Career development Transparency
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