Forward Deployed Engineer

present of AI; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Qurrent seeks an experienced Senior engineer to sit with finance customers in San Francisco, mapping accounts payable workflows and delivering Python-based AI agents that automate those tasks. The role emphasizes production experience with language models, reliability, and clear communication of tradeoffs to business stakeholders.

The ideal candidate brings several years of Python delivery, production-ready LLM skills, and the ability to redesign processes while delivering customer-facing demos.

Qualifications

• Hands-on Python delivery experience across multiple projects.
• Experience putting language model systems into production.
• Ability to explain technical tradeoffs to business stakeholders.
• Comfort with process redesign and customer-facing demos.

Responsibilities

• Map accounts payable and related finance workflows today.
• Build and ship Python-based AI agent systems to automate workloads.
• Ensure reliability and handle edge cases in production AI agents.
• Explain technical decisions to business stakeholders and demonstrate value.

Skills

Python delivery at scale

LLM systems in production

Agentic workflow design

Process mapping

Job description

Customer & Solutions · San Francisco · FullTime · Senior level

This role asks for an engineer who can sit with finance customers, map how their accounts payable and related workflows run today, then build and ship Python based AI agent systems that take over that work. A strong candidate brings several years of hands on Python delivery, real experience putting language model systems into production, and the ability to explain technical tradeoffs to business stakeholders. Comfort with process redesign and customer facing demos matters as much as coding.

How it fits the AI era

The work is largely about turning language models into dependable multi agent systems that run finance operations, so much of the engineering effort goes into reliability, evaluation and handling edge cases. What stays human is the customer conversation, the judgment about which processes should be automated and how, and the accountability for delivery. The role sits where AI capability meets real business workflows.

How it builds AI experience

Someone in this role would gain direct experience building agentic workflows, retrieval and fine tuning approaches for finance use cases, and deploying them on a major cloud. Because the company focuses on accounts payable and finance operations, the learning would center on making AI outputs trustworthy in high stakes record keeping. Building proof of production grade LLM systems and process mapping work would strengthen a candidacy here.

Worth showing

• Python delivery at scale
• LLM systems in production
• Agentic workflow design
• Process mapping and redesign

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Qurrent

Qurrent deploys managed artificial intelligence agents that execute finance operations and accounts payable workflows.