Software Engineer - Level 3

Motion Recruitment Partners LLC; Richardson (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Job summary

Motion Recruitment Partners LLC seeks an AI Engineer to design and build production-grade AI agents using Google's ADK. You will work on multi-agent systems that integrate with enterprise data platforms and business tools, taking agents from prototype to reliable production deployment.

The role emphasizes hands-on Python development, LLM APIs, and Google Cloud deployment, plus building observability and guardrails to ensure scalable, safe agent automation.

Qualifications

• 8+ years of software engineering experience with focus on AI/agent systems.
• Strong Python development skills and experience with LLM APIs.
• Experience with Google ADK or comparable agent frameworks and ramping on ADK.
• Familiarity with REST APIs and backend service integration.
• Knowledge of Google Cloud Platform services (Vertex AI, Cloud Run, IAM, Secrets Manager).

Responsibilities

• Design and build AI agents and multi-agent workflows using ADK.
• Agent orchestration patterns: tool use, function calling, sub-agent delegation, and state management.
• Integrate agents with enterprise data sources and internal APIs.
• Deploy and scale agents on Google Cloud (Vertex AI or equivalent).
• Evaluate and optimize agent performance, latency, and cost across model backends.
• Build tooling and guardrails around agent behavior: observability, testing, and safety checks.
• Collaborate with data engineering and platform teams to expose governed data to agents.

Skills

Python development

LLM APIs

Agent architecture

REST APIs

Cloud platforms

Tools

Google ADK

LangGraph

AutoGen

CrewAI

Snowflake

Vertex AI

Job description

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