Agentic AI Engineer – Google ADK/GCP

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🔥 2 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $135k - $155k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

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TTEC Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Customer Experience

TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.

📋 Description

• Design, build, and scale production-ready Multi-Agent Systems (MAS) and complex AI workflows. • Bridge the gap between simple LLM prompting and robust, deterministic, enterprise-scale software engineering. • Leverage ADK to orchestrate specialized micro-agents, build reliable graph-based workflows, and integrate AI agents with enterprise datastores, APIs, and Model Context Protocol (MCP) tools. • Move AI from conceptual prototypes to high-throughput, mission-critical business systems deployed on Agent Engine.

🎯 Requirements

• Bachelor’s degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline; equivalent practical experience will also be considered. • 2+ years of hands-on experience designing, developing, and deploying production-grade Generative AI, Large Language Model (LLM), or Agentic AI applications in enterprise environments. • Strong software engineering proficiency in Python and/or TypeScript/Node.js, including modern development practices, dependency management, testing frameworks, API development, and CI/CD pipelines. • Experience building autonomous AI agents, intelligent workflows, retrieval-augmented generation (RAG) solutions, or multi-step LLM applications that interact with external systems and data sources. • Hands-on experience with Google Cloud Platform (GCP), including services such as Vertex AI, Cloud Run, Cloud Storage, Secret Manager, IAM, and cloud-native application deployment patterns. • Solid understanding of prompt engineering, tool calling, function execution, agent memory management, context optimization, and LLM application architecture. • Experience integrating AI solutions with enterprise APIs, databases, knowledge repositories, and third-party platforms while maintaining security, scalability, and observability standards. • Strong troubleshooting and debugging skills with the ability to monitor, optimize, and improve AI application performance in production environments.

🏖️ Benefits

• Medical, dental, vision • tax-advantaged health care accounts • financial and income protection benefits • paid time off (PTO) and wellness time off.