Our Mission

Day to Day

As a Software Engineer on Indeed's Talent Scout team, you will help build and scale AI-powered employer help capabilities that reduce support case volume and improve client experience. You'll work on systems that combine LLM-based agents, API integrations, evaluation pipelines, and observability — operating at production scale with safety and quality gates.

In this role, you'll work alongside engineers, product managers, and cross-functional partners across multiple teams and time zones to design, ship, and iterate on agent-driven experiences. You'll contribute to architectural decisions, routing and observability design, and help drive phased rollouts from controlled launch to production scale.

Responsibilities

• Design, implement, and maintain features and services that support core business workflows.
• Contribute to the evolution of existing systems while helping prototype and deliver new capabilities.
• Participate in code reviews and design discussions to maintain quality, reliability, and clarity.
• Collaborate with engineers, product managers, and data partners to deliver end-to-end solutions.
• Identify performance and scalability improvements and enhance existing code accordingly.
• Share knowledge and provide guidance to teammates through collaboration and feedback.
• Communicate technical ideas clearly and effectively within the team.

Skills/Competencies

• Requires a Bachelor’s degree in Computer Science, Mathematics, Computer Engineering, or Electrical Engineering, and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD without experience
• Experience working with AI/ML systems, such as LLM-based agents, prompt engineering, or evaluation pipelines.
• Experience building or contributing to large-scale or distributed systems.
• Solid understanding of data structures, algorithms, and core computer science fundamentals.
• A demonstrated sense of ownership and accountability for delivered work.
• Curiosity, eagerness to learn, and enjoyment of solving complex technical problems.

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