The Role
Design and build scalable backend and platform services for agent orchestration, execution, evaluation, and observability. Integrate LLMs, enterprise tools, and external systems; develop APIs, SDKs, CI/CD workflows, and evaluation suites. Ensure security, governance, reliability, and performance in a cloud-native environment while collaborating with cross-functional teams.
Summary Generated by Built In
About Us:
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
Team Overview:
The Thinktank Agent Platform Team is building Target’s enterprise platform for developing, evaluating, deploying, and operating intelligent AI agents at scale. The platform provides reusable capabilities for agent orchestration, tool integration, evaluation, observability, governance, and optimization, enabling teams across Target to build reliable and secure agentic solutions.
The platform empowers engineering and product teams to rapidly create, test, monitor, and scale GenAI-powered agents while meeting enterprise standards for security, reliability, governance, and operational excellence.
Position Overview:
As a Senior Engineer on the Thinktank Agent Platform Team, you will design and build core platform capabilities that support agent development, orchestration, evaluation, observability, and production execution. You will work at the intersection of distributed systems, platform engineering, and GenAI to create reliable, scalable, and enterprise-grade agentic solutions.
Key Responsibilities
- Design and develop scalable backend and platform services for agent orchestration, execution, evaluation, and monitoring
- Build reusable capabilities for agent lifecycle management, tool integration, prompt and model configuration, and workflow execution
- Integrate LLMs, AI agents, enterprise tools, and external systems into production-grade solutions with strong reliability and guardrails
- Develop APIs, SDKs, and platform services that enable teams to build, test, deploy, and manage intelligent agents
- Build and enhance evaluation capabilities, including offline and online evaluations, test suites, quality metrics, and agent optimization
- Develop observability capabilities for tracing, monitoring, dashboards, alerts, and debugging agent behavior
- Ensure platform capabilities meet enterprise standards for security, governance, privacy, reliability, and auditability
- Collaborate with product, data science, application engineering, and enterprise architecture teams to define and deliver platform features
- Optimize system performance, scalability, resiliency, and cost efficiency in a cloud-native environment
- Contribute to engineering standards and best practices for building GenAI and agentic systems
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field
- 4+ years of experience in backend, platform, or distributed systems engineering
- Strong programming skills in Java, Kotlin, Go or Python
- Experience building scalable distributed systems, APIs, and microservices architectures
- Familiarity with REST APIs, event-driven systems, asynchronous processing, and cloud-native technologies
- Understanding of system design, scalability, reliability, security, and observability principles
- Experience with containers, Kubernetes, CI/CD pipelines, and modern software delivery practices
- Experience working in agile, cross-functional engineering teams
Preferred Qualifications
- Experience with AI/ML or GenAI systems, including LLM integrations and agent-based applications
- Familiarity with agent orchestration frameworks, tool calling, prompt management, and multi-agent systems
- Experience building evaluation frameworks for LLMs or AI agents
- Knowledge of tracing, observability, monitoring, dashboards, and alerting for distributed or AI systems
- Experience developing platform APIs, SDKs, or reusable developer tools
- Understanding of AI safety, governance, guardrails, and responsible AI practices
- Experience with vector databases, retrieval-augmented generation, model gateways, or semantic search
- Frontend experience with React is a plus
- Experience with cloud platforms, GCP, AWS or Azure
Skills Required
- Bachelor's or Master's degree in Computer Science or related field
- 4+ years experience in backend, platform, or distributed systems engineering
- Strong programming skills in Java, Kotlin, Go or Python
- Experience building scalable distributed systems, APIs, and microservices architectures
- Familiarity with REST APIs, event-driven systems, and asynchronous processing
- Understanding of system design, scalability, reliability, security, and observability principles
- Experience with containers, Kubernetes, and CI/CD pipelines
- Experience working in agile, cross-functional engineering teams
- Experience with AI/ML or GenAI systems, including LLM integrations and agent-based applications
- Familiarity with agent orchestration frameworks, tool calling, prompt management, and multi-agent systems
- Experience building evaluation frameworks for LLMs or AI agents
- Knowledge of tracing, observability, monitoring, dashboards, and alerting for distributed or AI systems
- Experience developing platform APIs, SDKs, or reusable developer tools
- Understanding of AI safety, governance, guardrails, and responsible AI practices
- Experience with vector databases, retrieval-augmented generation, model gateways, or semantic search
- Frontend experience with React
- Experience with cloud platforms (GCP, AWS or Azure)
Target Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Target and has not been reviewed or approved by Target.
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Healthcare Strength — Health benefits are accessible to hourly team members at relatively low hour thresholds and include no‑cost, 24/7 virtual medical care and expanded mental‑health support. This breadth is positioned as a relative strength compared to typical retail offerings.
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Retirement Support — Retirement programs include a dollar‑for‑dollar 401(k) match with immediate vesting and options like Roth 401(k) and stock purchase. These features strengthen long‑term savings for a wide range of roles.
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Parental & Family Support — Family support includes paid family leave, backup care, and reimbursements for adoption and surrogacy. These resources complement paid time off and holidays for eligible team members.
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The Company
What We Do
Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more. Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
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