Google ADK Specialist · Vertex AI · Gemini
Google Agent Development Kit Specialist: Production AI Agents on Google Cloud
Most AI agents look great in a Jupyter notebook and break in production. We build ADK agents the way data infrastructure should be built — with evals, observability, IAM, and a deployment pipeline — grounded in your real BigQuery data, deployed on Vertex AI Agent Engine.
Google's Agent Development Kit (ADK) is an open-source Python framework for building, evaluating, and deploying AI agents on Google Cloud. A Google ADK specialist designs the agent (LLM, prompts, structured outputs), builds the tool layer (typed function tools, MCP integrations, OpenAPI tools), wires Vertex AI Agent Engine deployment, and ships an evaluation harness that catches regressions before they reach production. As of 2026, a typical ADK engagement runs 2-10 weeks and costs between $5,000 (prototype) and $60,000 (full multi-agent system), with managed agent operations from $400/month. The TagSpecialist team combines 15+ years of data engineering on Google Cloud with hands-on ADK production deployments.
Google ADK Specialist Services
From a focused agent prototype to a full production multi-agent system — built with ADK, deployed on Vertex AI, grounded in your real data.
Custom AI Agent Development
Production agents built with Google ADK, deployed on Vertex AI Agent Engine. Powered by Gemini 2.5 with tool use, session memory, and structured outputs. Designed for marketing analytics, ops automation, and customer-facing assistants.
- ADK project scaffolding (agent, tools, sessions)
- Tool integrations (BigQuery, Google Ads, GA4, internal APIs)
- Vertex AI Agent Engine deployment
- Evaluation harness and regression tests
- Observability via Cloud Trace + Cloud Logging
Marketing Analytics Agents
Self-serve AI analysts that answer "why is CPA up this week?" with real BigQuery queries, surface anomalies on a schedule, and generate weekly performance reports — without dashboard sprawl.
- Natural-language → BigQuery SQL agent
- Anomaly detection on campaign performance
- Scheduled performance summaries (Slack / email)
- Attribution explainer agent
- Read-only IAM with audit logging
RAG Systems on BigQuery & Vertex AI
Retrieval-augmented generation grounded in your real data — campaign performance, product catalogs, support tickets, internal docs. Vertex AI Search for retrieval, Gemini for generation, BigQuery for the source of truth.
- Vertex AI Search index design
- Embedding pipelines (text-embedding-005 / multimodal)
- Grounded generation with citations
- Hybrid retrieval (semantic + keyword + filters)
- Eval set for retrieval and generation quality
Multi-Agent Workflows
Orchestrate multiple specialized agents — researcher, planner, critic, executor — with ADK's sub-agent and workflow patterns. Best for tasks too complex for a single agent loop, like end-to-end campaign briefs or multi-step diagnostics.
- Sub-agent decomposition and routing
- Sequential and parallel agent workflows
- Critic / verifier agents for quality control
- Stateful session management
- Human-in-the-loop checkpoints
Agent Tooling & MCP Integration
The agent is only as good as its tools. We design and build the tool layer — typed function tools, MCP server integrations, OpenAPI tool generation — that connects ADK agents to your real systems safely.
- Custom Python function tools
- MCP server integration for shared tool ecosystems
- OpenAPI → ADK tool auto-generation
- Authorization, scopes, and rate limiting
- Tool result caching and idempotency
Agent Evaluation & Production Ops
Most ADK agents fail in production for the same reasons: unstable tool behavior, prompt drift, and no eval harness. We add evals, telemetry, and rollout discipline so the agent that worked yesterday still works tomorrow.
- Eval set design (golden tests + adversarial)
- Continuous eval in CI/CD
- Cloud Trace + structured logging for every step
- Cost monitoring per agent / per task
- Canary rollouts and rollback playbooks
Why TagSpecialist for Google ADK
Most agent shops know LLMs but not your data. Most data shops ship Jupyter demos. We do both.
Marketing Data + AI Engineering, Not Either Or
Most agent shops know LLMs but not your data. Most data shops know BigQuery but ship LangChain demos. We do both — production agents grounded in production marketing data.
GCP-Native Architecture
ADK + Vertex AI + BigQuery + Cloud Run is one IAM boundary, one billing surface, one observability stack. We deploy in your GCP project — no vendor lock-in to a third-party agent platform.
Eval-First, Not Demo-First
Every agent ships with an eval harness. Demos look great until prompt-drift breaks them on Monday. Evals catch the drift before it ships.
Production Discipline
Cloud Trace on every tool call. Cost monitoring per agent invocation. Canary deploys, rollback playbooks, and on-call runbooks. Production-grade, not Jupyter-grade.
15+ Years of Data Engineering
BigQuery, dbt, Cloud Run, Pub/Sub — the substrate ADK agents need access to is the substrate we have been building on for 15+ years.
Direct Engineer Access
No project managers, no offshore handoffs. You work directly with the engineer writing the agent code, prompt, and tool layer.
Google ADK Engagements
Fixed-scope, fixed-price engagements. From a focused prototype to a production multi-agent system.
| Engagement | Price Range | Timeline | Best For |
|---|---|---|---|
| Agent Prototype | $5,000 – $12,000 | 2–3 weeks | Validating an agent use case before bigger commitment |
| Marketing Analytics Agent | $8,000 – $18,000 | 3–5 weeks | BigQuery + Gemini single-agent (anomaly detection, NL→SQL) |
| Production Multi-Agent System | $25,000 – $60,000 | 6–10 weeks | Multi-agent orchestration with evals, ops, deployment |
| Managed Agent Operations | From $400/month | Ongoing | Eval runs, prompt updates, model upgrades, on-call |
How It Works
From use-case discovery to a deployed agent with evals — typically in 3-6 weeks for a single agent.
Use Case & Eval Set
Pick the right agent shape for the job. Define golden tests and adversarial cases before any code ships. If it cannot be measured, it does not get built.
Tool Layer & Prompt
Build typed function tools, wire MCP servers, draft the agent prompt and structured outputs. Iterate against the eval set, not against vibes.
Deploy & Observe
Vertex AI Agent Engine deployment with Cloud Trace, structured logging, and per-invocation cost tracking. Canary rollout, then full traffic.
Operate or Handoff
Managed retainer, or full handoff with documentation and runbooks. Evals continue running in CI on every prompt or tool change.
Don't Just Take My Word For It
Hear from the businesses I've helped transform their data operations
"Aman is hands down the best Google and Meta tracking specialist I've ever worked with. His deep expertise, problem-solving skills, and attention to detail make him an absolute game-changer."
Marketing Director
Google/Meta Tracking - E-commerce Client
Verified Client
"Aman did a fantastic job setting up GA4 and Tag Manager for 3 ecommerce websites I have. I will definitely work with him again and be referring others to him."
Business Owner
GA4 Implementation - E-commerce Brands
Verified Client
"Incredibly skilled with Facebook attribution, and was thorough in troubleshooting and solving my issue, even on my checkout software that he wasn't already familiar with."
Marketing Manager
Facebook Attribution - SaaS Company
Verified Client
"Excellent troubleshooting and testing. Professional and knowledgeable with Google Analytics, Tag Manager, Facebook Ads Manager. Would highly recommend and will gladly rehire in future."
E-commerce Manager
CAPI Setup - ThriveCart User
Verified Client
"Very good developer. Always did a good job. We've worked together for over 3 years with 172 hours logged. Aman has been instrumental in our tracking success."
Growth Lead
GTM Implementation - Long-term Client
Verified Client
"Aman is great and knowledgeable. He's a great communicator too. His audit helped us identify critical tracking gaps and improve our campaign performance significantly."
Analytics Manager
SA360 Account Audit - Digital Agency
Verified Client
Completed Projects
5-Star Reviews
Average Rating
Years Experience
Testimonials from verified enterprise and agency clients.
Google ADK Specialist FAQ
Ship a Production AI Agent, Not a Demo
Book a free 15-minute scoping call. We'll review your use case, propose an agent architecture, and tell you honestly if ADK is the right tool — or if a simpler approach would do the job.