AI Engineer - Level 3

AI Engineer (Agent Development Kit / ADK)

Location: TX-Richardson / hybrid onsite

Duration: Till feb 2027, possible extension/conversion

About the Role

We're looking for an AI Engineer to design and build production-grade AI agents using Google's Agent Development Kit (ADK). You'll work on multi-agent systems that integrate with enterprise data platforms and business tools, taking agents from prototype through to reliable production deployment.

What You'll Work On

- Designing and building AI agents and multi-agent workflows using ADK

- Agent orchestration patterns: tool use, function calling, sub-agent delegation, and state/session management

- Integrating agents with enterprise data sources (Snowflake, Salesforce, or similar) and internal APIs

- Deploying and scaling agents on Google Cloud (Vertex AI Agent Engine or equivalent)

- Evaluating and tuning agent performance, latency, and cost across different model backends

- Building tooling and guardrails around agent behavior: observability, testing, and safety checks

- Collaborating with data engineering and platform teams to expose reliable, well-governed data to agents

Must Have

- Hands-on experience building agents with Google ADK (or comparable agent frameworks such as LangGraph, AutoGen, CrewAI, with strong ability to ramp on ADK)

- Strong Python development skills

- Experience with LLM APIs (Gemini, Claude, OpenAI, or similar) and prompt/tool design

- Understanding of agent architecture patterns: planning, tool orchestration, memory/state, multi-agent coordination

- Experience with REST APIs and backend service integration

- Familiarity with Google Cloud Platform (Vertex AI, Cloud Run, IAM, Secrets Manager)

Good to Have

- Experience with Model Context Protocol (MCP) or other agent-to-tool integration standards

- SQL proficiency, ideally with Snowflake (CTEs, Dynamic Tables, Views)

- Experience with Snowflake Cortex / Cortex Analyst

- Familiarity with Salesforce data models (Account IDs, object relationships)

- Experience with evaluation frameworks for LLM/agent output quality

- Background integrating agents into existing enterprise applications (React/Next.js, Node.js/NestJS)

Requirements

- 8+ years of software engineering experience, with recent focus on applied AI/agent systems

- Strong Python skills; TypeScript/JavaScript a plus

- Experience shipping AI features to production, not just prototypes

- Comfortable working independently in ambiguous, fast-evolving technical territory

- Clear communicator, able to explain agent behavior and architecture to both technical and non-technical stakeholders

What Success Looks Like

- Agents that are reliable, observable, and behave predictably in production

- Clean integration between agents and underlying enterprise data/systems

- Reduced manual effort for end users through well-scoped agent automation