AI Engineer - 11967
Coupa Software2 days ago
Pune, IndiaMid Level / Senior
Responsibilities
- Design, develop, test, and deploy autonomous and semi-autonomous AI agents using Google ADK, Vertex AI Agent Builder, and agentic patterns.
- Own AI project delivery on Google Cloud from proof of concept and prototyping through production deployment, monitoring, and continuous iteration.
- Use Vertex AI for model training, fine-tuning, vector search, orchestration, model deployment, endpoint management, and monitoring.
- Integrate AI agents with BigQuery, Cloud Functions, Cloud Run, Pub/Sub, and enterprise data sources and SaaS platforms.
- Develop multi-agent architectures, orchestration logic, grounding strategies, prompts, and tool-use workflows.
- Implement and monitor responsible AI safeguards covering bias detection, explainability, compliance, fairness, robustness, and operational limits.
- Partner with business stakeholders, QA Specialists, and Cloud Engineers to define requirements and deliver reliable, scalable solutions.
- Improve production agent performance based on monitoring data and stakeholder feedback while owning measurable business outcomes.
Requirements
- 3–5+ years of experience 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 and agentic patterns such as ReAct, planning, tool use, and function calling.
- Proficiency in Python, Google ADK, the Vertex AI SDK, and common data science libraries such as pandas, scikit-learn, and TensorFlow/JAX.
- Experience with Google Cloud services including Vertex AI, BigQuery, Cloud Functions, Cloud Run, Pub/Sub, and Vertex AI Pipelines, plus MLOps principles.
- Demonstrated success deploying AI/ML models and solutions into production on cloud platforms.
- Experience in a forward-deployed role focused on business outcomes and ability to scope ambiguous problems and ship useful solutions quickly.
- 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, 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.
- Preferred experience includes Gemini API, embeddings, RAG, Cloud Run, GKE, serverless architectures, Google Cloud security, IAM, data governance, Vertex AI Explainable AI, model monitoring, bias detection, Crew, LangChain, LangGraph, Anthropic Claude, and Model Context Protocol.
Benefits
- Two company-wide paid wellness days annually, paid birthday time off, and 40 hours of paid volunteer time off annually.
- 24/7/365 Employee Assistance Program with counseling and work-life, financial, legal, and new-parent resources.
- Business travel protection through Zurich Travel Assist.
- Employee referral bonus program.
- Location-specific benefits may include medical and dental insurance, retirement or pension plans, and life or accident protection.
- The recruiter provides the regional benefits package details for the role during the interview process.
Tech Stack
Categories
About Coupa Software
Coupa Software provides a cloud-based spend management platform used by enterprises to manage procurement, sourcing, invoicing, and supplier interactions. It sells SaaS subscriptions and services that help finance and operations teams control and analyze business spending across a large buyer–supplier network. Founded in 2006 and headquartered in Foster City, California, Coupa is privately held under Thoma Bravo ownership and serves global customers across many industries.