Software Engineer, AI Agents

Posted Yesterday
Hiring Remotely in USA
Remote
180K-400K Annually
Entry level
Artificial Intelligence • Marketing Tech • Software • Analytics
The Role
Build AI-powered data agents and production LLM pipelines for analytics and marketing workflows. Rapidly prototype AI applications, select architectures and frameworks, and create seamless AI-assisted user experiences. The role requires backend system architecture, product intuition, customer understanding, and creativity with LLM applications. Responsibilities span proof-of-concept development, production implementation, and end-to-end ownership of AI projects.
Summary Generated by Built In
About the Role

We’re looking to add a product-minded AI engineer to the team. The ideal candidate will have strong customer and product thinking, and the ability to be highly creative with LLM applications. We are looking for someone who can both rapidly prototype and architect production LLM pipelines.

Example workstreams include:

  • Quickly iterating and developing proofs of concept (POCs) to explore the maximum potential of integrating AI into data and marketing workflows

  • Making key decisions about the choice of AI architecture and frameworks

  • Building production data agents that can make use of a company’s data to seamlessly answer analytics and data science questions about their users and marketing efforts

  • Developing a deep understanding of user workflows to create seamless AI-assisted user experiences

We're seeking talented, intellectually curious, and motivated individuals interested in exploring the forefront of AI. While no prior experience with LLMs and AI is required, strong technical skills, particularly in backend architecture, and product intuition are essential for understanding and executing these projects from start to finish.

This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense and creativity with LLMs, ability to architect backend systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

  • Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.

  • System Design Screen [60m]: Designing a data processing feature end-to-end.

  • Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

  • Agent Building Systems Interview [75m]: Work with the interviewer to architect an agentic system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

 

Skills Required

  • Strong technical skills
  • Backend architecture experience
  • Product intuition and customer-focused thinking
  • Ability to rapidly prototype and develop proofs of concept
  • Ability to architect and build production systems
  • Creativity and interest in LLM applications
  • Prior LLM or AI experience
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The Company
400 Employees
Year Founded: 2018

What We Do

Hightouch provides a warehouse-native customer data and AI marketing platform for enterprise teams. It lets data teams retain control of their data, access, and infrastructure, while marketers and business users build audiences, launch campaigns, and personalize customer experiences. Its composable customer data platform brings together behavioral events, customer profiles, and integrations with marketing destinations to activate data and support data-driven campaigns.

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