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