AI Engineer - 11952

Coupa Software Incorporated; Bogotá; Hybrid; COP 120,000,000 - 190,000,000; Full time

Benefits offered by this job

Global Wellness Days

BirthdayTime-Off

VolunteerTimeOff (VTO)

Employee Assistance Program (EAP)

Travel Protection

Referral Bonus Program

Job summary

Coupa Software Incorporated is seeking a hands-on AI Engineer to design, build, test, and deploy agentic AI solutions on Google Cloud. You will translate business challenges into production-ready agents using Google ADK, Vertex AI, and related services, delivering measurable value.

You will work with stakeholders, QA, and Cloud Engineers to ensure robust, scalable integrations within enterprise systems, while embedding responsible AI practices and governance across deployments.

Qualifications

• Bachelor's degree in CS, Data Science, or related field or equivalent practical experience.
• 3-5+ years in software engineering, data science, or AI/ML delivery.
• Hands-on experience with Google Cloud Platform and Vertex AI.
• Proficiency in Python and AI/ML libraries.
• Experience with AI agents, tool use, and function calling.

Responsibilities

• Design, build, test, and deploy agentic AI solutions on Google Cloud.
• Leverage Vertex AI for model training, vector search, and orchestration.
• Own end-to-end lifecycle from prototyping to production deployment.
• Integrate AI agents with Google Cloud services and enterprise data sources.
• Collaborate with stakeholders, QA, and Cloud Engineers to scale solutions.
• Implement and monitor responsible AI safeguards and governance.

Skills

Google Cloud Platform

Vertex AI

Python

AI agent development

REST APIs

CI/CD

MLOps

Communication

Education

Bachelor's degree in CS/Data Science or related field

Tools

Google ADK

Vertex AI Agent Builder

Vertex AI Pipelines

Job description

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.

The Impact of an AI Engineer at Coupa:

We are seeking a hands-on Agentic AI Developer / AI Engineer to design, build, test and deploy agentic AI solutions leveraging Google Cloud's AI ecosystem. This role is a core part of our AI Delivery "Build" team, responsible for translating business challenges into production-ready AI agents and solutions using Google ADK (Agent Developer Kit), Vertex AI, and related Google Cloud services that create measurable business value.

This position combines deep technical expertise with practical execution on Google's AI platform, ensuring that our agentic AI solutions are well-designed, robustly built, and successfully deployed. The Agentic AI Developer will partner closely with business stakeholders, QA Specialists, and Cloud Engineers to build, test, and scale responsible AI solutions from concept to production within the Google Cloud environment.

In a forward deployed role, You will embed directly with the portfolio teams whose problems you are solving, work in their tools and their meetings, and deliver agentic and automation solutions in the flow of work: inside the systems people already use every day, not as one more application they have to learn.

What You’ll Do

• Design & Build with Google ADK: Design, develop, test, and deploy autonomous and semi-autonomous AI agents using Google ADK, Vertex AI Agent Builder, and agentic patterns to address key business challenges.
• Vertex AI Implementation: Leverage Vertex AI capabilities including model training, fine-tuning, vector search, and orchestration to build production-grade AI solutions that integrate seamlessly with enterprise systems.
• End-to-End Development: Own the end-to-end technical lifecycle of AI projects on Google Cloud Platform, from initial proof-of-concept and prototyping through to production deployment using Vertex AI Pipelines, monitoring with Vertex AI Model Monitoring, and continuous iteration.
• Google Cloud Integration: Build integrations between AI agents and Google Cloud services including Gemini Enterprise, Cloud Functions, Cloud Run, Pub/Sub, and enterprise data sources to enable intelligent automation across the organization.
• Cross-Functional Collaboration: Partner with business stakeholders to understand requirements and collaborate closely with QA Specialists and Cloud Engineers to ensure solutions are reliable, scalable, and seamlessly integrated within GCP infrastructure.
• Responsible AI Implementation: Implement, test, and monitor safeguards for AI agents using Vertex AI's responsible AI tools to mitigate risks, including bias detection, model explainability, compliance monitoring, and operational limits. Ensure solutions are fair, explainable, and robust.
• Agentic Architecture with ADK: Contribute to the architecture and selection of frameworks, tools, and orchestration logic using Google ADK and Vertex AI to build, manage, and scale multi-agent systems effectively.
• Prototype Fast, in the Open: Ship a working prototype in days, not quarters. Put it in a real user’s hands early, watch them use it, and iterate on what you observe instead of what was requested.
• Build MCP Servers and Tool Integrations: Design, build, and maintain Model Context Protocol (MCP) servers, connectors, and tool layers that give Claude, Gemini, and other models safe, governed, audited access to Coupa business systems and data.
• Stay Multi-Model and Pragmatic: Choose the right model, framework, and pattern for each job across Claude, Gemini, and open models. Make cost, latency, and accuracy tradeoffs deliberately instead of defaulting to one vendor.
• Know When It Isn’t an Agent: Recognize when workflow automation, a scheduled job, a cleaner integration, or simply deleting a step is the faster, cheaper, more durable fix. Reach for the smallest tool that solves the problem.
• Instrument and Prove Impact: Measure every deployment. Track usage, cycle-time reduction, hours returned, and error and escalation rates, then report results to stakeholders and leadership in business terms, not model metrics.
• Carry Trust and Governance into the Field: Apply security, privacy, data-handling, and responsible AI guardrails at the point of deployment. Engage Security, Legal, and Data Governance early so solutions clear review the first time.
• Enable, Document, and Hand Off: Leave behind runbooks, monitoring, and trained business owners so what you build survives without you. Convert one-off wins into reusable patterns, templates, and internal skills the whole AI Delivery team can redeploy.
• Iterate & Improve: Monitor agent performance in production using Vertex AI monitoring tools, gather feedback, and iteratively improve models, prompts, grounding strategies, and agent logic to drive successful adoption and business impact.

What You Will Bring to Coupa

• Proven experience (3-5+ years) in software engineering, data science, or AI/ML solution delivery with demonstrated Google Cloud Platform expertise.
• Hands-on experience with Google Vertex AI, including model deployment, endpoint management, and AI agent development.
• Strong knowledge of AI/ML fundamentals, agentic AI patterns (e.g., ReAct, planning, tool use, function calling), and experience with Google ADK or Vertex AI Agent Builder.
• Proficiency in Python and Google Cloud AI/ML libraries including Google ADK, Vertex AI SDK, and common data science libraries (e.g., pandas, scikit-learn, TensorFlow/JAX).
• Experience with Google Cloud Platform services (Vertex AI, BigQuery, Cloud Functions, Cloud Run, Pub/Sub) and MLOps principles including Vertex AI Pipelines and CI/CD.
• Demonstrated success in building and deploying AI/ML models and solutions into production on cloud platforms.
• Demonstrated experience in a forward deployed role where you owned the business outcome, not just the ticket.
• Comfort operating in ambiguity. You can walk into an undefined business problem, scope it with the people who own it, and ship something useful within weeks.
• Experience integrating AI or automation into enterprise SaaS platforms (ERP, CRM, HRIS, procurement, ITSM) through REST APIs, webhooks, event streams, or middleware.
• Strong written communication. You can explain a cost and accuracy tradeoff to a CFO and a stack trace to an engineer on the same afternoon.
• Working knowledge of at least one non-Google model provider and its tooling (e.g., Anthropic Claude, OpenAI), including function calling and tool use across providers.
• Proven ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

At Coupa, we are 100% committed to creating and nurturing an environment that supports your physical, mental, and community well-being. We offer a comprehensive suite of benefits designed to help you and your family thrive:

Global Well-Being Perks (For All Employees Globally)

• Global Wellness Days:Enjoy two designated, company-wide paid wellness daysoffeach year (typically the first Friday in March and the last Friday in September) so the entire global team can unplug, step away, and recharge together.
• BirthdayTime-Off:Celebrate your day!Coupa provides a paid dayoffon yourbirthdayor another day of your choice within yourbirthdaymonth.
• VolunteerTimeOff(VTO):Giving back is in our DNA.We offer 40 hours of paid VTO annually to support the community initiatives and volunteer programs you are passionate about.
• Employee Assistance Program (EAP):Access free, confidential, 24/7/365 counseling and resources for emotional support, work-life solutions, financial advice, legal guidance, and support for new parents.
• Business Travel Protection:Travel with peace of mind.Zurich Travel Assist provides medical, safety, pre-trip planning, and emergency support during any business travel.
• Referral Bonus Program:Share the Coupa experience!Receive generous monetary referral bonuses when you successfully refer talented friends or acquaintances who are hired into open roles.

Please note: In addition to these global well-being perks, Coupa offers highly competitive, location-specific benefits packages (which include comprehensive medical/dental insurance, retirement/pension plans, and life or accident protection) tailored to your primary work location. Your recruiter will walk you through the specific regional benefits package for this role during the interview process.

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.

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