Drimva

Target

Lead Full Stack Engineer - AI Platform Team

$132K–$238K

7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 · Full-time · Posted Oct 5, 2026

Experience
7+ years of full-stack software engineering experience, including technical leadership of complex systems and initiatives.
Education
4-year degree or equivalent experience
Visa sponsorship
Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

About the job

Leads the design and development of Target’s AI/ML and agent platform, enabling teams to build, orchestrate, evaluate, monitor, and run AI agents in production.

What you'll do

  • Architect and build scalable full-stack platform capabilities for agent development, orchestration, execution, evaluation, and monitoring.
  • Create APIs, SDKs, developer tools, and intuitive experiences for building and managing agents and workflows.
  • Provide technical direction and mentorship while ensuring platform security, reliability, governance, and performance.

What they ask for

  • 7+ years of full-stack software engineering experience, including technical leadership of complex systems and initiatives.
  • Strong programming skills in Java, Kotlin, Go, or Python, plus experience with backend services/APIs and modern frontend technologies such as React and TypeScript.
  • Experience building production AI/ML or GenAI applications using LLMs, agents, or agentic workflows.
  • Experience with scalable distributed systems, containers, Kubernetes, CI/CD, and cloud-native development.

Nice to have

  • Experience building LLM or agent evaluation frameworks and secure sandboxing or isolated execution environments.
  • Experience with RAG, vector databases, semantic search, embeddings, model gateways, or platform APIs and SDKs.

Pay

$132,000.00 - $238,000.00 USD base salary

Tools

Java, Kotlin, Go, Python, React, TypeScript, Kubernetes, GCP

AI focus

Builds enterprise AI/ML and agent platform capabilities, including orchestration, tool integration, context and memory, evaluation, observability, sandboxing, and production execution.

Model-written summary · the original posting is authoritative

First seen Oct 14, 2026 · Last verified Nov 4, 2026 (UTC)