New 
AI Engineer - Level 3
 Spectraforce Technologies | |
 United States, Texas, Richardson | |
 Aug 21, 2026 | |
|
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 | |