Job description
The Role
Cogniify is hiring a Google Cloud AI Engineer to build and deploy Generative AI applications and AI agents that work with real business data. In this hands-on role, you will use Vertex AI, Python and BigQuery to take solutions from design to production.
We are looking for an engineer who has built production AI or machine learning applications, can connect them securely to enterprise data, and enjoys working with both engineering teams and business stakeholders.
What You Will Do
Build and deploy AI agents using Vertex AI Agent Builder and Google’s Agent Development Kit (ADK), including multi-agent workflows.
Connect AI applications to BigQuery and other enterprise databases through secure APIs and tools, including MCP where appropriate.
Develop retrieval-augmented generation (RAG) and grounding workflows that help agents answer questions using relevant business data.
Write Python services and BigQuery SQL for data preparation, feature engineering and AI applications.
Train, evaluate and deploy models on Vertex AI, including serving models through Vertex AI endpoints.
Use Google Cloud Storage and, where needed, Dataflow or Apache Beam to support data pipelines and real-time inference.
Test AI output quality, troubleshoot production issues and protect sensitive data, including personally identifiable information (PII).
Work with stakeholders to understand requirements, explain technical decisions and deliver practical solutions.
What We Are Looking For
Hands-on experience building and deploying Generative AI, agentic AI, RAG or machine learning applications on Google Cloud Platform (GCP).
Practical experience with Vertex AI, such as Agent Builder, model deployment, pipelines or model evaluation.
Strong Python and advanced SQL skills, with direct experience using BigQuery.
Experience with Google Cloud Storage and production model serving through Vertex AI endpoints.
Ability to integrate AI applications with enterprise data while managing security and access.
Ownership of delivery, from understanding the problem through deployment and troubleshooting.
Preferred Experience
Google ADK, MCP Toolbox for Databases, Spanner, AlloyDB or BigQuery vector search.
Dataflow or Apache Beam for streaming data pipelines and real-time inference.
AI or data projects in financial services or retail.
PII masking, privacy controls or compliance requirements for sensitive data.
Perks And Benefits Of Working With Us
Unlimited PTO.
Please ask us about our very generous parental leave, much above industry standards!.
Entrepreneurial culture where pushing limits and taking risks is everyday business.
Open communication with management and company leadership.
Small, dynamic teams = massive impact.
Medical, Dental and Vision coverage for employees.
Access to Disability & Life insurance.
Mental health and wellbeing support
Annual bonus program
Employer Stock Purchase Program (ESPP)
Yearly Team building experiences
Mentorship and sponsorship opportunities
Manager resources and support
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.