Drimva

Target

Senior Engineer – Apply For CircleCard

$98K–$176K

7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 · Senior · Full-time · Posted Oct 26, 2026

Experience
4 years of degree or equivalent practical experience; 5+ years of software engineering experience building enterprise-scale applications and backend systems.
Education
4 years of degree or equivalent practical experience.

About the job

Leads engineering for Target’s Circle Card application experience, building scalable backend services and production AI applications, agents, and workflows.

What you'll do

  • Design, build, and maintain Circle Card services, APIs, and distributed systems; lead architecture, reviews, testing, and operational improvements.
  • Develop production AI applications and agentic workflows, including RAG, prompt and context engineering, and AI evaluation.
  • Provide technical leadership, mentor engineers, and collaborate across product and engineering teams.

What they ask for

  • 4 years of degree or equivalent practical experience.
  • 5+ years of software engineering experience building enterprise-scale applications and backend systems.
  • Hands-on experience designing and deploying production AI applications, AI-powered tools, or agentic systems using modern LLMs; experience building autonomous or multi-agent workflows.
  • Expert-level proficiency in Kotlin and Java; experience with Micronaut and/or Spring Boot, plus distributed systems, RESTful APIs, Kafka, PostgreSQL, and production services.

Nice to have

  • Experience with workflow orchestration platforms such as Temporal.
  • Experience creating reusable AI workflows or “skills”; experience with the Target Register platform.

Pay

$98,000.00 - $176,000.00 (base salary; currency not stated)

Tools

Kotlin, Java, Micronaut, Kafka, PostgreSQL, Python, LangGraph, LangChain

AI focus

Build production AI applications, autonomous and multi-agent systems, RAG solutions, and reusable AI workflows; apply AI-assisted development, prompt and context engineering, and AI evaluation, optimization, and responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)