Agentic AI Engineer (Google ADK)
New
T
TTEC DigitalAI Engineering
Manila, US business hoursFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years
- Required Skills
- Node.jsPythonGCPTypeScriptCI/CDLLM
Requirements
- Bachelor’s 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 Python or TypeScript/Node.js.
- 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+).
- Understanding of multi-agent orchestration patterns, state graph architectures, and deterministic routing.
- Familiarity with Model Context Protocol (MCP) and external tool integration.
- Experience implementing CI/CD pipelines for AI applications (e.g., GitHub Actions, Terraform).
- Background in evaluation frameworks for AI agent benchmarking.
Responsibilities
- Architect multi-agent systems including sequential pipelines and loop-based self-correction using Google ADK.
- Develop core agentic logic using deterministic graph workflows to ensure predictable outcomes.
- Map and integrate custom agent skills and third-party tools like Google Maps MCP and enterprise APIs.
- Perform evaluation and debugging of execution trajectories to mitigate hallucinations.
- Deploy agents to Agent Engine via Cloud Run and maintain system availability, security, and latency.
- Collaborate with product managers and AI researchers to optimize Gemini model implementation.
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