Senior Engineer

Target

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$98,000–$176,000 / yr
Posted
11 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $137k
$85k most similar roles pay here $219k

This role pays less than 77% of similar roles. Most pay $137,787–$195,037 — the shaded band above. At the midpoint, this role pays about $137k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 58 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 58 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Senior Engineer

Senior Engineer – Apply For CircleCard serves as a technical specialist within the engineering team responsible for creating a seamless guest experience for the Circle Card application process. You will design, develop, and maintain scalable backend services to provide instant approval decisions, manage in-store balance paydowns, and track key metrics. The role involves building production-grade AI-powered applications using Large Language Models, LangChain, CrewAI, and RAG solutions while developing high-performance RESTful APIs and event-driven systems. You will utilize a technical stack including Kotlin, Java, Micronaut, Python, Kafka, PostgreSQL, Redis, Docker, and Kubernetes. Your work addresses the core backend systems powering the Circle Card journey, requiring you to solve complex problems related to system reliability, automated workflows, and infrastructure observability while ensuring high availability for retail and financial workloads.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Design and deploy production-grade autonomous AI systems using LLMs, orchestration frameworks, and RAG solutions.
  • Develop domain-specific AI agents and multi-agent workflows to automate engineering processes and enhance retail experiences.
  • Build and maintain scalable backend services using Kotlin, Java, and Micronaut for high-volume financial workloads.
  • Design distributed systems utilizing Kafka, RESTful APIs, and PostgreSQL to ensure high availability and performance.
  • Implement prompt engineering and context engineering strategies to improve the reliability of AI-powered applications.
  • Lead technical design reviews, code reviews, and architecture discussions to guide the engineering team.
  • Optimize AI applications for response quality, latency, token utilization, and inference costs.
  • Provide technical oversight and mentorship to resolve complex issues and ensure best practices in software engineering.

What we're looking for

  • Must have 4 years of degree or equivalent practical experience.
  • Must have 5+ years of software engineering experience building enterprise-scale applications and backend systems.
  • Must have hands-on experience designing and deploying production AI applications, tools, or agentic systems using Large Language Models (LLMs).
  • Must have experience building autonomous or multi-agent workflows using orchestration frameworks like LangChain, CrewAI, or similar technologies.
  • Must possess a strong understanding of Prompt Engineering, Context Engineering, Retrieval-Augmented Generation (RAG), and AI evaluation practices.
  • Must be proficient in Python for AI application development, automation, or tooling.
  • Must have expert-level proficiency in Kotlin and Java to build microservices using Micronaut or Spring Boot.
  • Must have experience with distributed systems, RESTful APIs, Kafka, PostgreSQL, Redis, Docker, Kubernetes, and CI/CD pipelines.

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