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Quantiphi

Machine Learning Engineer - GCP

Quantiphi, San Jose, California, United States, 95199

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Role Overview Must be able to work PST timezone hours and travel onsite once a month (San Jose, CA).

Provide advisory; may need to provide example code snippets for work that demonstrates how to resolve customer issues.

Required Technical Skills

Hands-on experience with Vertex AI, including Agent Engine, Vertex AI Search, and the Agent Development Kit (ADK).

Proficiency in deploying and managing applications on Google Kubernetes Engine (GKE) and/or Cloud Run.

Strong understanding of GCP security principles, including IAM, VPC Service Controls, and Model Armor.

Experience in developing and orchestrating multi-agent systems.

Expertise with agentic frameworks, specifically LangChain and LangGraph.

Background in Natural Language Processing (NLP) and building Retrieval-Augmented Generation (RAG) systems.

Experience with data pipeline design and optimization.

Hands‑on skills with OpenTelemetry and implementing robust monitoring and observability for AI/ML systems.

Ability to design and implement end‑to‑end tracing for complex, multi‑step agent interactions.

Excellent communication and interpersonal skills.

Experience working in a co‑development model, mentoring and enabling customer teams.

Ability to translate complex business requirements into scalable technical solutions.

Seniority level Mid‑Senior level

Employment type Contract

Job function IT Services and IT Consulting

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