Senior AI Engineer – Apply for Circlecard

Target Target · Retail · NCD-0375 Brooklyn Park, MN

Senior AI Engineer role focused on building production AI-powered applications and agentic AI systems for the Circle Card application experience. Responsibilities include designing, building, and deploying autonomous agents, developing multi-agent workflows, implementing RAG solutions, and optimizing AI applications for performance and cost.

What you'd actually do

  1. Design, build, and deploy production-grade autonomous and agentic AI systems capable of reasoning, planning, tool orchestration, memory management, and multi-step workflow execution.
  2. Develop domain-specific AI agents and multi-agent workflows using modern orchestration frameworks to automate engineering processes and enhance retail and enterprise experiences.
  3. Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources, vector search technologies, and semantic retrieval.
  4. Optimize AI applications for response quality, latency, throughput, token utilization, and inference cost.
  5. Implement AI evaluation frameworks and apply responsible AI, security, privacy, governance,

Skills

Required

  • AI-assisted software development tools
  • AI coding assistants
  • enterprise AI platforms
  • production AI-powered applications
  • Large Language Models (LLMs)
  • autonomous and agentic AI systems
  • reasoning
  • planning
  • tool orchestration
  • memory management
  • multi-step workflow execution
  • orchestration frameworks
  • prompt engineering
  • Context Engineering
  • Retrieval-Augmented Generation (RAG)
  • enterprise knowledge sources
  • vector search technologies
  • semantic retrieval
  • response quality
  • latency
  • throughput
  • token utilization
  • inference cost
  • AI evaluation frameworks
  • responsible AI
  • security
  • privacy
  • governance

Nice to have

  • AI coding assistants
  • enterprise AI platforms
  • LLMs
  • orchestration frameworks
  • prompt engineering
  • Context Engineering
  • RAG
  • vector search technologies
  • semantic retrieval
  • AI evaluation frameworks
  • responsible AI
  • security
  • privacy
  • governance

What the JD emphasized

  • production AI-powered applications
  • production-grade autonomous and agentic AI systems
  • domain-specific AI agents and multi-agent workflows
  • Retrieval-Augmented Generation (RAG) solutions
  • responsible AI, security, privacy, governance

Other signals

  • design and build production AI-powered applications
  • Design, build, and deploy production-grade autonomous and agentic AI systems
  • Develop domain-specific AI agents and multi-agent workflows