[Hiring] Sr. AI Engineer @Farmer's Business Network

Role Description

Own the agents that talk to FBN's customers. You design, build, evaluate and run the member-facing agents for customer support, lending and sales. The goal: farmers get fast, correct answers and orders at any hour, and our teams spend their time on the work that needs a person.

Responsibilities

• Customer support agent (about 40%):
  • Take our CX agent from a staff copilot to a member-facing agent that answers order status, invoice, return and product questions, and covers off-hours.
  • Decide with the CX lead which replies the agent can send by itself, and build the hand-off to a person for the rest.
• Lending agents (about 25%):
  • Automate loan operations: read, sort and file loan documents, spread borrower financial statements, follow up on conditions to close, and contact new land-loan leads within minutes.
  • Work inside our loan origination system (nCino on Salesforce) and its controls.
• Sales and order agents (about 20%):
  • Build agents that take routine and repeat orders, follow up on stalled carts and quotes, return missed sales calls and send SMS outreach that hands warm leads to a sales rep.
• Evals, safety and operations (about 15%):
  • Build eval suites from real cases (135K support cases and 1.1M calls already mined).
  • Measure accuracy, safety, latency and business outcomes.
  • Set guardrails, monitoring and incident response for agents that act for FBN in front of customers.

Owns the customer-facing agent portfolio end to end: design, build, evals, launch and run.

Decisions owned: agent architecture, tool and data access, eval criteria and launch readiness. Business owners approve what the agent may say and do.

Impact: company-wide. These agents are a main part of the FY27 AI plan for Direct, CX and Lending.

Sets the standard practice for how FBN builds and evaluates customer-facing agents. Mentors other engineers and the business champions.

Qualifications

• Bachelor's degree in computer science or a related field and 8+ years of software engineering experience, or 12+ years of related experience. (FBN S5 standard.)
• Shipped LLM-based agents or assistants to real users in production, with tool use, retrieval and multi-step workflows.
• Built eval suites and used them to decide launches: offline test sets from real data, online monitoring, and regression checks.
• Strong backend engineering in Python or TypeScript: APIs, queues, data pipelines, cloud (AWS).
• Integrated with business systems such as a CRM, ERP, telephony or messaging platform, with care for auth, permissions and audit trails.
• Clear judgment on safety: when an agent should act, when it should draft, and when it must hand off to a person.
• Works directly with non-technical business owners. Turns an unclear customer problem into a scoped agent with success criteria.

Preferred Qualifications

• Customer support automation, contact center or conversational AI experience.
• Lending, fintech or regulated workflows (document processing, KYC, credit policy).
• Salesforce, nCino, NetSuite or Dialpad APIs. SQL on a data warehouse (Redshift).
• Agriculture, marketplace or e-commerce background.

Requirements

To understand the physical demands of this job, please click this link and refer to Template B.

Benefits

• Competitive total compensation packages that include equity compensation (dependent upon job level).
• Incentive/bonus plans (dependent upon position).
• Paid holidays plus an additional floating holiday.
• Work flexibility including paid time off and remote work if your role is eligible.
• Parental leave.
• Benefits including but not limited to: medical, dental, vision, wellbeing, short & long term disability, life insurance, 401k, HSA employer contributions, and more.