Agentic Application Developer

Agriland FS
Winterset, IA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

HTML JavaScript (Programming Language) Test Suite Artificial Intelligence Amazon Web Services Amazon Cloudfront Amazon S3 Applications Architecture Cascading Style Sheets (CSS) Cloud Engineering Code Review Continuous Integration
+17 more
Information Engineering Data Infrastructure Software Debugging Amazon DynamoDB Python (Programming Language) Salesforce.Com Apex Code Delivery Pipeline AI Coding Agents Agentic-AI Git Drilldown Front End Software Development Functional Programming Api Gateway Software Version Control Serverless Computing

Job description

  • AWS Applications: Build, test, and deploy custom applications on our AWS serverless stack (Lambda, S3 and CloudFront, DynamoDB, API Gateway) as the core of the ELEVATE suite.
  • Commercial Platforms: Contribute to the systems the business runs on today where code is needed, including Lightning Web Components in Salesforce, without making any single vendor’s platform your identity.
  • AI-Accelerated Workflow: Use AI assistants to prototype quickly, generate and critically review code, write test suites, and document components as you go.
  • Bug Resolution: Troubleshoot and resolve bugs in existing components and applications, learning the codebase by fixing it.

Phase 2: Delivery Ownership (Ramping around Month 6+)

  • Path to Production: Own the road from working code to production: Git-based version control, code review, deployment pipelines, and closing out the last 10% that gets nearly finished work over the finish line.
  • Requirements Translation: Partner with stakeholders to translate operational pain points into structured user stories, technical requirements, and working solutions.
  • Release Discipline: Help formalize and enforce our review-and-deploy process as more people across the company gain build access.
  • Reusable Foundations: Contribute to a growing library of reusable components and patterns across the ELEVATE suite, so the next build is faster than the last.

Phase 3: Expanding the Stack (Growing into the Platform)

  • Data Engineering: Go deeper on ATLAS: pipelines, warehousing, and the analytics layer that runs the business.
  • Platform Engineering: Take on infrastructure, CI/CD, monitoring, and the deployment machinery itself.
  • Agentic Development: Push past code assistance into agents, automation, and AI-native ways of working, and bring what you learn back to the team.

Where This Role Grows

We build our own applications, and we view early-career development as the launching pad for long-term technical and professional growth. As you advance past your first year, your trajectory can evolve into:

  • End-to-End Product Ownership: Owning an application from roadmap through stakeholders, build, deployment, and user adoption, not just tickets.
  • Delivery Leadership: Becoming the team’s authority on how software ships: pipelines, environments, and release standards for everything we build.
  • Specialized Career Tracks: Deep-diving further into serverless application architecture, data platform engineering on ATLAS, or front-end craft and user experience across the ELEVATE suite.

Requirements

  • Development Foundation: Working knowledge of JavaScript, HTML, and CSS, plus exposure to Python or Apex. Coursework, personal projects, and professional experience all count.
  • Cloud-Native Mindset: Curiosity about consumption-based cloud platforms and how serverless applications are designed, built, and paid for. Exposure to any commercial platform (Salesforce or comparable) is helpful but not required; we would rather teach a platform than unteach config-only habits.
  • AI Fluency: Comfort using AI coding assistants in a real development workflow: prompting effectively, reviewing generated code critically, and iterating rather than accepting output blindly.
  • Finisher’s Instinct: Energy for the unglamorous last mile: testing, deployment, documentation, and follow-through until users are actually using the thing.
  • Strong Communication: Ability to explain technical tradeoffs to non-technical stakeholders and build trust across the business.
  • Range: A refusal to be boxed into one discipline; you are curious about how the whole system fits together, not just your corner of it.

Benefits & conditions

  • Paid, in-house training and certification for DOT License and Endorsements for a Class A CDL with tanker and hazmat endorsements
  • Work with updated and modern equipment
  • Competitive benefits including medical, dental, vision, and life insurance, and more
  • Paid time off, sick pay, and paid holidays
  • Solid retirement future with a 100% company-funded Pension Plan at no cost to you, plus an additional 401k with company match
  • Recognition and pay incentives for good job performance

About the company

AGRILAND FS is a fast-growing energy company delivering diesel, gasoline, propane, and other petroleum products to customers nationwide, with a full agronomy business alongside. Our small technical team builds and runs the ELEVATE application suite and the ATLAS data platform, using AI as a core part of our daily workflow rather than an occasional shortcut.

We are looking for a developer early in their career who is ready to build modern, AI-accelerated, cloud-native applications. This is not a role where you spend years on boilerplate before touching anything real. We do not put team members in isolated boxes. Your center of gravity is our AWS serverless platform, where we build the custom applications in the ELEVATE suite. You will also touch the commercial platforms our business runs on today, Salesforce among them, but this is a cloud developer role, not a platform-specific one. As you master the fundamentals, your role will have the opportunity to expand into owning the full path to production and, eventually, whole applications.

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