Software Engineer – Level 3

By myKelly | August 21, 2026

Software Engineer - Level 3

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Job ID: mrp-885769

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Richardson, ,

Information Technology

Contract,

On-site

Other/Non Classified

Richardson, ,

Contract,

Other/Non Classified

On-site

Information Technology

Apply On Motion Recruitment Applied

Job details

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

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