Agentic AI Engineer (Google ADK GCP)
Job Location:
Barranquilla - Colombia
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
As an Agentic AI Engineer specializing in Googles Agent Development Kit (ADK) you will design build and scale production-ready Multi-Agent Systems (MAS) and complex AI workflows. You will bridge the gap between simple LLM prompting and robust deterministic enterprise-scale software engineering.
In this role you will leverage ADK to orchestrate specialized micro-agents build reliable graph-based workflows and integrate AI agents seamlessly with enterprise datastores APIs and Model Context Protocol (MCP) tools. You will be responsible for moving AI from conceptual prototypes to high-throughput mission-critical business systems deployed on Agent Engine.
- Architect Multi-Agent Systems: Design and implement structured multi-agent architectures (Sequential Pipelines Parallel Fan-out/Gather and Loop-based self-correction) using Google ADK.
- Develop Core Agentic Logic: Build deterministic graph workflows that effectively weave adaptive AI reasoning with explicit execution paths to ensure predictable outcomes.
- Tool & Skill Integration: Create map and integrate custom Agent Skills and third-party tools (including Google Maps MCP Search tools and custom enterprise APIs).
- Evaluation & Debugging: Use ADK evaluation tools to test execution trajectories manage loop limits avoid key collisions and drastically mitigate production hallucinations.
- Scale and Deploy: Deploy optimized agents to Agent Engine (via Cloud Run / Google Cloud Platform) and maintain high availability security and low latency.
- Collaborate across Ecosystems: Work alongside product managers and core AI researchers to optimize the implementation of Gemini models ($Gemini 2.5 Flash$ Pro etc.) within agentic frameworks.
- Bachelors degree in Computer Science a related technical field or equivalent practical experience.
- 2 years of experience building and deploying production-grade LLM applications or Agentic AI systems.
- Strong proficiency in at least one primary language supported by ADK: Python (e.g. managing virtual environments using uv or pip) or TypeScript/.
- Experience with the Google Cloud Platform (GCP) ecosystem including Cloud Run Vertex AI Secret Manager and Cloud Storage.
- Hands-on experience developing with the official open-source Google Agent Development Kit (ADK 2.0).
- Deep understanding of multi-agent orchestration patterns state graph architectures and deterministic routing.
- Familiarity with Model Context Protocol (MCP) and integrating external tools seamlessly into LLM context windows.
- Experience implementing rigorous CI/CD pipelines for AI applications (e.g. GitHub Actions Terraform).
- Strong background in evaluation frameworks for AI agents to benchmark precision recall and tool-calling accuracy.
Required Experience:
Unclear Seniority
About Company
We believe that humanity and technology should âco-exist, and that at the nexus of the âmost powerful experiences, humanity and technology collide. At TTEC Digital, we combine the expertise, innovation, partnerships, and passion of three industry-leading customer experience com ... View more
