Software Engineer - Level 3

About the job

**Title: Software Engineer

Job Title: AI Engineer (Agent Development Kit / ADK)

Experience Level: [3+ years AI Engineer, 8+ as Software Engineer]

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**