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AI Agent Engineer (Backend)

Summary by AIEngineer.careers

AI Agent Engineer (Backend) is a AI Agent Engineer role (full-time). with DivIHN Integration Inc. in SAANICH, CA. Compensation shown: $116K–$173K (est.). Imported listing (source: mindpal.co). Apply on the employer's site (mindpal.co).

Imported listing (source: mindpal.co) · Apply on mindpal.co

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SAANICH · CA
$116K–$173K (est.)
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from mindpal.co

Build and deploy production-grade AI agents and multi-agent workflows using LLM APIs, coding agents, and agent frameworks. Partner with Product Managers and domain experts to translate complex business workflows into agentic solutions, owning the work from discovery through deployment and continuous improvement. This is a 3-month W2-only engagement based in Palo Alto, CA.

Responsibilities

  • Collaborate with Product Managers and domain experts to define workflows, requirements, and success criteria
  • Design, build, test, and deploy AI agents, automations, and internal tools using LLM APIs and agent frameworks
  • Build multi-agent workflows that coordinate decisions, tasks, and handoffs
  • Develop reliable agent orchestration including tool integrations, context/state management, retries, caching, and failure handling
  • Create backend services, APIs, integrations, and data models to support agent-powered applications
  • Integrate agents with internal platforms, business systems, and external tools
  • Implement evaluation frameworks, guardrails, quality checks, and human-in-the-loop approvals
  • Follow production engineering best practices: version control, code reviews, automated testing, CI/CD, monitoring, and staged deployments
  • Monitor production performance and optimize agent workflows based on measurable outcomes

Requirements

  • 7+ years of professional backend software engineering experience in production systems
  • 2+ years of hands-on experience building AI agents and agent-powered production applications
  • Strong experience with LLM APIs, agent frameworks, and multi-agent orchestration
  • Proven ability to design and deploy production-grade backend services, REST APIs, integrations, and data models
  • Experience with reliable agent workflows: tool calling, context/state management, error handling, and evaluation
  • Strong understanding of system design, algorithms, data structures, access control, and scalable architecture
  • End-to-end ownership from requirements and workflow design through deployment and production support
  • Strong communication skills and ability to work through ambiguity
  • Builder mindset with outcome measurement (time saved, errors reduced, process efficiency)

Nice to Have

  • Python
  • FastAPI
  • Flask
  • LangGraph
  • Google ADK
  • PostgreSQL
  • MySQL
  • SQL Server
  • Docker
  • OpenAPI
  • Swagger
  • React
  • JavaScript
  • Electron

Tech Stack

CI/CDContext ManagementDockerEvaluation FrameworksFastAPIFlaskGoogle ADKGuardrailsHuman-in-the-LoopJavaScriptLangGraphLLM APIsMulti-Agent OrchestrationMySQLOpenAPIPostgreSQLPythonReactRESTSQL ServerState managementSwaggerTool Calling
DivIHN Integration Inc.

DivIHN Integration Inc.

Hoffman Estates · US · 193+ employees

DivIHN (pronounced 'Divine') is a minority-owned, holistic technology consulting firm founded in 2002, headquartered in Hoffman Estates, Illinois. It provides IT consulting, digital transformation, and business solutions including AI, data analytics, cybersecurity, and implementation of Azure, Salesforce, and ServiceNow, with a workforce distributed across the United States and India.

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