AI Engineer - Level 3

Spectraforce

Richardson, TX, United States

6 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

leoforce.us

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence ARM Architecture Customer Data Management Information Engineering Database Queries Identity and Access Management Intrusion Detection Systems Python (Programming Language) Node.Js Next.js

+16 more

Salesforce.Com Session Management Software Deployment Software Engineering Systems Integration TypeScript Enterprise Data Management Google Cloud Enterprise Software Applications ReactJS Large Language Models Snowflake Multi-Agent Systems Backend NestJS Restful APIs

Job description

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

Requirements

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