Scoutbee Logo

Scoutbee

Applied AI Engineer

Reposted 9 Days Ago
In-Office
San Francisco, CA, USA
Expert/Leader
In-Office
San Francisco, CA, USA
Expert/Leader
The Applied AI Engineer will design and develop AI applications, collaborate with product teams, and establish frameworks for AI development at Coupa.
The summary above was generated by AI

About Scoutbee


At Scoutbee, we've built the world's most sophisticated AI-powered supplier intelligence platform through rigorous innovation and engineering excellence. Now, as we join forces with Coupa, we’re maintaining our distinctive team culture while scaling our technical impact globally. By integrating our cutting-edge AI search algorithms and rich supplier data with Coupa’s $8T+ dataset, we’re solving complex discovery problems at an unprecedented scale. As a high-velocity team within Coupa, we maintain our technical autonomy and rapid development cycles, all while gaining the resources to push the boundaries of what’s possible. If you’re passionate about applied AI, machine learning, and building systems that transform how businesses connect worldwide, there’s never been a more exciting time to join us.


Scoutbee is launching the Applied AI Lab at Coupa, a small, highly skilled team dedicated to embedding AI into Coupa’s products and shaping the future of AI-enabled development. We are seeking our first Applied AI Engineer, a founding member who will play a critical role in defining how AI is built and delivered at Coupa.


The role is ideal for an engineer who thrives at the intersection of AI research and product development. You will work directly with product leaders to design and implement AI-powered applications that deliver measurable value to Coupa’s buyers and suppliers. As a founding engineer, you will also help establish the technical foundation, frameworks, and best practices that will guide AI development across Coupa, while staying deeply engaged in the fast-moving AI ecosystem and experimenting with emerging technologies to keep us at the frontier.



Your role in our beehive:

  • Design, build, and deploy AI applications using modern AI building blocks (Leading LLM SDKs, RAG, embeddings, agent orchestration, vector/graph DBs, etc.).
  • Develop API-first services that allow existing Coupa product teams to easily integrate AI capabilities.
  • Rapidly prototype and iterate on AI solutions in collaboration with product and design teams.
  • Establish coding standards, frameworks, and practices for scalable AI feature development.
  • Collaborate with data scientists to transformCoupa’s unique transaction dataset into differentiated AI products.
  • Ensure all AI solutions adhere to compliance, security, and governance requirements.

What you bring to our beehive:

  • 8+ years of software engineering experience, with at least 2+ years in AI/ML application development.
  • Proficiency in Python, with experience building production-grade APIs.
  • Strong knowledge of modern AI techniques: LLMs, RAG, embeddings, orchestration frameworks, and evaluation methods.
  • Deeply engaged in the fast-moving AI ecosystem, staying current on the latest innovations and experimenting with emerging technologies in your free time.
  • Comfortable working across the stack: data pipelines, backend services, and application logic.
  • Experience integrating AI into real-world enterprise workflows is highly desirable.
  • Product mindset: ability to collaborate closely with PMs and designers to deliver intuitive, impactful experiences.
  • An entrepreneurial spirit: - motivated to build from zero-to-one and thrive in a small, fast-moving team.

Why Join Coupa Applied AI Lab?

  • Founding role on a new high-impact team with executive sponsorship.
  • Opportunity to shape Coupa’s AI platform, frameworks, and development culture - with strong career growth as the team scalesDirect impact on AI products that will be used by thousands of enterprises and millions of suppliers.
  • Work at the frontier of AI technologies while embedding them into practical, business-critical applications.
  • Attractive compensation, equity opportunities and benefits.

What's in it for you?

  • Opportunity to help shape the world’s biggest procurement network
  • Work cross-functionally with top talent across GTM, product, and platform teams
  • Competitive compensation and wellness budgets
  • Remote-flexible, mission-driven culture committed to better global procurement



We'd love to hear from you!

At Scoutbee, we value personality, curiosity, and cultural fit more than perfect qualifications. If you’re unsure whether you tick every box, that’s okay. Imposter syndrome and self-doubt are real, but they shouldn’t hold you back. We believe not knowing everything can be a strength. It creates space for growth, learning, and fresh perspectives. We're here to support and learn from each other as we grow together.


Scoutbee is an equal opportunities employer

All qualified applicants will receive consideration for employment without regard to ethnic background, color, religion, gender, sexual orientation, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.


Top Skills

AI
APIs
Data Pipelines
Embeddings
Llm
Ml
Orchestration Frameworks
Python
Rag
Vector/Graph Dbs
HQ

Scoutbee San Francisco, California, USA Office

San Francisco, CA , United States, 94133

Similar Jobs

10 Days Ago
Hybrid
Redwood City, CA, USA
131K-154K Annually
Senior level
131K-154K Annually
Senior level
Big Data • Information Technology • Productivity • Software • Analytics • Business Intelligence • Consulting
As a Senior Applied AI Engineer, you will develop AI solutions for business challenges, prototype innovative technologies, and ensure successful implementation for clients.
Top Skills: Aws BedrockAzure AiGcp VertexLangchainPandasPydanticPythonPyTorchSklearn
17 Days Ago
Easy Apply
Hybrid
Easy Apply
180K-230K Annually
Senior level
180K-230K Annually
Senior level
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
The Senior Applied AI Engineer will build multimodal systems, implement streaming pipelines, and mentor team members, focusing on AI and data integration.
Top Skills: Aws BedrockFlinkGoogle Vertex AiJavaKafkaPulsarPythonRust
24 Days Ago
In-Office or Remote
San Francisco, CA, USA
154K-260K Annually
Senior level
154K-260K Annually
Senior level
Security • Software • Cybersecurity • Automation
Lead applied research on retrieval and reasoning for compliance-focused AI: design and evaluate RAG/agent strategies, build evaluation frameworks and ranking systems, run experiments, debug failure modes, and hand validated approaches to engineering for productionization.
Top Skills: A/B TestingAgentsCross-EncodersDense RetrievalEmbedding ModelsLearning-To-RankLlmsNotebooks (Jupyter)PythonRagRanking/Reranking SystemsSparse RetrievalStatistical AnalysisVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account