AI Engineer

Coupa Software

. Design, develop, test, and deploy autonomous and semi-autonomous AI agents using Google ADK, Vertex AI Agent Builder, and agentic patterns .

Posted 11/5/2026full-timePune • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI solutions using Google Cloud Platform, particularly with Vertex AI and Google ADK. Proficient in integrating AI agents into enterprise systems while ensuring compliance and responsible AI practices.

Highest-signal resume keywords

Google Cloud Platform ExpertiseVertex AI DevelopmentPython ProficiencyAI/ML Fundamentals KnowledgeMLOps Principles

ATS Keywords

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Hard Skills

AI Agent DevelopmentModel DeploymentData Science LibrariesGoogle ADKVertex AI SDKPandasScikit-LearnTensorFlowCI/CDREST APIs

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Google Vertex AICloud FunctionsCloud RunPub/SubBigQueryGemini EnterpriseMCP Servers

Industry Keywords

AI/ML Solution DeliveryAgentic AI PatternsAutomation IntegrationData GovernanceResponsible AI Safeguards

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPandasPythonReactScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design, develop, test, and deploy autonomous and semi-autonomous AI agents using Google ADK, Vertex AI Agent Builder, and agentic patterns
Use Vertex AI for model training, fine-tuning, vector search, orchestration, and production-grade AI solutions
Own the end-to-end technical lifecycle of GCP AI projects from proof of concept through production deployment
Build integrations with Gemini Enterprise, Cloud Functions, Cloud Run, Pub/Sub, and enterprise data sources
Partner with business stakeholders, QA Specialists, and Cloud Engineers to deliver reliable, scalable solutions
Implement and monitor responsible AI safeguards, including bias detection, explainability, compliance monitoring, and operational limits
Contribute to architecture and framework selection for multi-agent systems
Prototype solutions rapidly and iterate based on real user feedback
Build and maintain MCP servers, connectors, and tool layers for governed access to Coupa systems and data
Select appropriate models and frameworks across Claude, Gemini, and open models while balancing cost, latency, and accuracy
Identify when workflow automation, scheduled jobs, integrations, or process removal are more appropriate than agents
Measure deployment impact, including usage, cycle-time reduction, hours returned, errors, and escalations, and report results to stakeholders and leadership
Apply security, privacy, data-handling, and responsible AI guardrails and engage Security, Legal, and Data Governance
Create runbooks, monitoring, trained business ownership, reusable patterns, templates, and internal capabilities
Monitor production agent performance and improve models, prompts, grounding strategies, and agent logic

Requirements

What you’ll need

3-5+ years of experience in software engineering, data science, or AI/ML solution delivery
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 and agentic AI patterns such as ReAct, planning, tool use, and function calling
Experience with Google ADK or Vertex AI Agent Builder
Proficiency in Python and Google Cloud AI/ML libraries, including Google ADK and Vertex AI SDK
Experience with pandas, scikit-learn, TensorFlow/JAX, or similar data science libraries
Experience with GCP services including Vertex AI, BigQuery, Cloud Functions, Cloud Run, and Pub/Sub
Knowledge of MLOps principles, Vertex AI Pipelines, and CI/CD
Success building and deploying AI/ML models and solutions into production on cloud platforms
Demonstrated experience in a forward deployed role owning business outcomes
Experience integrating AI or automation into enterprise SaaS platforms through REST APIs, webhooks, event streams, or middleware
Working knowledge of at least one non-Google model provider and its tooling, such as Anthropic Claude or OpenAI, including function calling and tool use
Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience

Benefits

Comp & perks

Two designated company-wide paid wellness days off each year
Paid day off on your birthday or another day within your birthday month
40 hours of paid Volunteer Time Off annually
Free, confidential, 24/7/365 Employee Assistance Program with counseling and work-life, financial, legal, and new-parent support
Zurich Travel Assist business travel protection, including medical, safety, pre-trip planning, and emergency support
Monetary referral bonuses for successful referrals
Location-specific comprehensive medical/dental insurance
Location-specific retirement/pension plans
Location-specific life or accident protection