Job Description
Job Description
Software Engineer, AI Agents (Product-Minded LLM / Agentic Systems)
Location: Remote (North America)
Compensation: $180,000–$320,000 base (location-independent) + equity
Contact / Apply: aidan@nxtlevel.io
About Our Client
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).
They operate with high ownership, first-principles thinking, and a culture that values strong communication, growth mindset, and kindness.
The Role
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
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Rapidly iterate on proofs of concept (POCs) to explore the ceiling of AI in data + marketing workflows
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Make key decisions on LLM architecture and frameworks, balancing speed, reliability, and maintainability
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Build production “data agents” that use a company's warehouse data to answer analytics and data science questions about users and marketing performance
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Develop a deep understanding of user workflows and design seamless AI-assisted experiences (not just “chatbots”)
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Productionize LLM pipelines with strong engineering fundamentals: observability, evaluations, safety/guardrails, cost control, and performance
What Our Client Is Looking For
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Strong backend and systems fundamentals (you can architect and ship end-to-end systems)
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Product intuition and customer empathy—you build for real workflows, not demos
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Creativity in applying LLMs/agents to practical problems
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Comfort operating in ambiguity and iterating quickly
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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.
Compensation
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Base salary: $180,000–$320,000 USD (location-independent within North America)
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Equity included (details shared in process)
Interview Process
This process emphasizes product sense, system architecture, and values alignment—without programming interviews.
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Recruiter Screen (30 min): Intro + mutual fit
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System Design Screen (60 min): Design a data processing feature end-to-end
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Hiring Manager Interview (30 min): Past experience + operating preferences + values alignment
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Agent Building Systems Interview (75 min): Architect an agentic system conceptually, incorporating product/customer requirements and technical constraints