Software Engineer, AI Agents

Our client is hiring a Software Engineer, AI Agents to build and productionize agentic systems that help customers act on their data. This is a product-minded role for someone who can move quickly from prototype * production, is creative with LLM applications, and can architect reliable backend pipelines.

You’ll work on AI features that directly power customer workflows-especially around analytics and data questions-and you’ll partner closely with product to translate ambiguity into elegant systems.

What You’ll Work On

• Rapidly iterate on proofs of concept (POCs) to explore the ceiling of AI in data + marketing workflows
• Make key decisions on LLM architecture and frameworks, balancing speed, reliability, and maintainability
• Build production “data agents” that use a company’s warehouse data to answer analytics and data science questions about users and marketing performance
• Develop a deep understanding of user workflows and design seamless AI-assisted experiences (not just “chatbots”)
• Productionize LLM pipelines with strong engineering fundamentals: observability, evaluations, safety/guardrails, cost control, and performance

• Strong backend and systems fundamentals (you can architect and ship end-to-end systems)
• Product intuition and customer empathy-you build for real workflows, not demos
• Creativity in applying LLMs/agents to practical problems
• Comfort operating in ambiguity and iterating quickly
• Strong communication skills and ownership mindset

Note: Prior LLM experience is not required. The team values strong technical skills and product thinking most; you’ll learn fast on the AI side if you have the fundamentals.

• Base salary: $180,000-$320,000 USD (location-independent within North America)
• Equity included (details shared in process)

Interview Process

This process emphasizes product sense, system architecture, and values alignment-without programming interviews.

1. Recruiter Screen (30 min): Intro + mutual fit
2. System Design Screen (60 min): Design a data processing feature end-to-end
3. Hiring Manager Interview (30 min): Past experience + operating preferences + values alignment
4. Agent Building Systems Interview (75 min): Architect an agentic system conceptually, incorporating product/customer requirements and technical constraints

Our client is a modern AI platform for marketing and growth teams. Their AI agents are reimagining marketing workflows-helping teams create content, plan campaigns, and execute strategies with significantly higher velocity and performance. The company sits at the intersection of two major tailwinds: LLMs/agentic AI and the widespread adoption of cloud data warehouses (e.g., Snowflake and Databricks).