Software Engineer, AI Agents

Software Engineer AI Agents (Product-Minded LLM / Agentic Systems)

Location: Remote (North America)
Compensation: $180000$320000 base (location-independent) equity
Contact / Apply:

About Our Client

Our client is a modern AI platform for marketing and growth teams. Their AI agents are reimagining marketing workflowshelping 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.

Youll work on AI features that directly power customer workflowsespecially around analytics and data questionsand youll partner closely with product to translate ambiguity into elegant systems.

What Youll 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 companys 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 empathyyou 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; youll learn fast on the AI side if you have the fundamentals.

Compensation

• Base salary: $180000$320000 USD (location-independent within North America)

• Equity included (details shared in process)

Interview Process

This process emphasizes product sense system architecture and values alignmentwithout 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

Required Experience:

Unclear Seniority