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# Generative AI Engineer (GCP)

- **Company:** SolutionIT, Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Databases, Customer Data Management, Distributed Systems, Identity and Access Management, Python (Programming Language), Routing, Rapid Prototyping Process, Standard Sql, Software Engineering, Enterprise Software Applications, Chatbots, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Low Latency, Data Management
- **Published:** August 29, 2026
- **Apply:** https://www.careerjet.com/jobad/us35e111c323a11a0d0d317758195f2d99

## About the Role

* 5+ years software engineering
 * Experience building AI/LLM applications or chatbots
 * Strong Python + one additional backend language
 * Hands-on GCP experience (Vertex AI preferred)
 * Experience with ADK or similar agent frameworks
 * Experience building APIs / distributed systems
 * Strong SQL (BigQuery preferred)

Preferred

 * Agent Studio / AI Studio or rapid prototyping tools
 * RAG / vector databases
 * Enterprise copilots or operational AI assistants
 * IAM / secure service integration
 * Supply chain / transportation domain experience (e.g., logistics, TMS, routing, shipment visibility)

Success Criteria

 * Deliver production AI agents on GCP
 * Reduce POC production cycle time
 * Build reusable agent patterns
 * Ensure secure, scalable, observable systems

## Description

We are seeking an Associate with strong working knowledge of both Epsilon and Live Ramp data platforms to help client organizations evaluate, design, and optimize their customer data and audience strategies.
Responsibilities

 * Develop AI agents/chatbots with tool integration (APIs, databases, services)
 * Build using ADK (Python required; Java or similar preferred)
 * Create multi-step agent workflows (reasoning, orchestration, context handling)
 * Rapidly prototype using Agent Studio / AI Studio (or equivalent)
 * Convert POCs to production services on GCP (Cloud Run / GKE)
 * Integrate with Vertex AI, BigQuery, enterprise systems
 * Implement guardrails, access controls, and monitoring
 * Optimize latency, cost, and reliability


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