Senior GCP Engineer: AI Platforms & Development

CNX•USA, TN, Work-at-Home, TN

8d•$122,001 - $191,715•Remote

About The Position

We're Concentrix, an intelligent transformation partner that is solution-focused, tech-powered, and intelligence-fueled. As a global technology and services leader, we power the world's best brands. Our Technical Products and Services team drives Concentrix’s transformation, data, and technology services by integrating digital engineering, creativity, and human behavior insights to unlock value through tech-powered experiences. We combine human-centered design, powerful data, and strong technology to accelerate transformation at scale. You will be surrounded by the best in the world, providing market-leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients, achieving our vision. Our game-changers have devoted their careers to ensuring every relationship is exceptional, and we are proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures.

Requirements

8+ years of software engineering with a focus on backend development
3+ years of experience building applications on Google Cloud Platform
Expert proficiency in Python and/or Go
Deep hands-on experience with Gemini (Pro/Flash), Vertex AI SDKs, Prompt Engineering, and Function Calling
Familiarity with building RAG-based systems

Nice To Haves

Google Professional Cloud Developer certification
Practical knowledge of the Agent Development Kit (ADK) and Vertex AI Agent Builder
Experience with Terraform for infrastructure-as-code
Knowledge of LLM evaluation frameworks
Hands-on experience with other industry-leading models (e.g., GPT-4, Claude, Llama) for cross-model prompt engineering, supervised fine-tuning (SFT), and the implementation of AI safety guardrails and observability

Responsibilities

Build and maintain production-grade microservices and APIs that orchestrate Agent workflows using tools like Gemini Enterprise (fka Agentspace), CX Agent Studio, Vertex AI Agent Builder, Generative Playbooks, and the Agent Development Kit (ADK).
Implement and optimize complex prompt templates, system instructions, and few-shot examples for Gemini models; tune agentic behavior through iterative testing and feedback loops.
Lead the transition of AI prototypes to scalable production environments using Cloud Run, GKE, Vertex AI Agent Engine, and Cloud Functions, incorporating advanced patterns like Function Calling, Grounding with Google Search, and Vertex AI Extensions.
Implement the "glue code" and connectors required for Agents to interact with enterprise data via Gemini Enterprise (fka Agentspace), Vertex AI Search and Conversation (fka Gen AI App Builder), BigQuery, and specialized Vector Databases.
Establish automated deployment pipelines (Cloud Build) and MLOps-aligned engineering practices specifically for LLM applications (e.g., prompt versioning, evaluation pipelines).
Serve as the lead engineer for the GCP Innovation Lab, responsible for the hands-on development of strategic accelerators, POCs, and high-fidelity demos; translate innovative IP and project-based learnings into reusable technical assets and "starters" that optimize delivery speed.
Partner with AI specialists and lead developers from other technology practices to exchange cross-platform insights and ensure global best practices are translated effectively into optimized GCP implementations.
Develop reusable "AI Starter Kits" and backend templates that allow our delivery teams to rapidly stand up secure, Gemini-powered applications on GCP.