Hightouch Logo

Hightouch

Software Engineer, AI Agents

Posted Yesterday
Remote
Hiring Remotely in USA
180K-400K Annually
Entry level
Remote
Hiring Remotely in USA
180K-400K Annually
Entry level
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.
The summary above was generated by AI
About Hightouch

Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works.

Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible.

Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart.

At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you.

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.

The base 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.

 

Similar Jobs

2 Days Ago
Remote or Hybrid
Santa Clara, CA, USA
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and architect AI agent systems for enterprise observability, incident investigation, alert remediation, and reduced MTTR. Drive technical strategy, architecture, and high-impact initiatives while integrating LLMs and multi-agent frameworks into production systems. Collaborate across engineering, product, UX, and security teams; build reusable tools and frameworks; mentor engineers; and promote responsible agentic patterns and engineering excellence.
Top Skills: Ai/Ml ModelsJavaJavaScriptLarge Language ModelsMulti-Agent SystemsObservability AnalyticsServicenow PlatformTypescript
One Month Ago
In-Office or Remote
150K-242K Annually
Senior level
150K-242K Annually
Senior level
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence. Build multi-agent workflows using orchestration frameworks and large language models, engineer tool-using and self-refining agents, develop data ingestion pipelines, and operate secure, scalable AI systems in production. Apply DevOps, reinforcement feedback mechanisms, and AI-assisted development practices while contributing to engineering standards and documentation.
Top Skills: AWSCi/CdClaudeClaude CodeCodexDistributed SystemsDockerEmbeddingsGeminiGemini CliGoogle AdkGoogle Cloud PlatformGpt-4JavaScriptKubernetesLangchainLanggraphPythonRetrieval-Augmented GenerationVector Databases
27 Days Ago
In-Office or Remote
154K-205K Annually
Senior level
154K-205K Annually
Senior level
Security
Lead the architecture and development of AI orchestration platforms, multi-agent workflows, RAG systems, scalable data pipelines, and enterprise AI components. Build MLOps and LLMOps capabilities, responsible AI guardrails, governance, observability, evaluation, and telemetry solutions. Drive architecture reviews and cross-team alignment while enabling secure, auditable AI applications across software engineering functions.
Top Skills: Apache AirflowApache IcebergApache KafkaSparkAutogenAWSAzure Cosmos DbCrewaiDatabricksDelta LakeFastapiLangchainLanggraphLlmopsAzureMlopsPythonRagReactRest ApisSemantic KernelSemantic SearchSnowflakeSQLVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account