Forward Deployed Engineer

Job Summary
:

Four Kites is a leader in AI-driven supply chain transformation for global enterprises. As a Forward Deployment Engineer, you will build and deploy AI-powered integration solutions directly with enterprise customers, focusing on optimizing production-grade code and enhancing customer impact through innovative problem-solving.

Responsibilities
:

• Build and deploy integration solutions — EDI (214, 315), callbacks, custom payload mapping, and API integrations — with production-grade quality and full test coverage

• Deploy agentic AI workflows that orchestrate supply chain operations live with customers present — configuring and deploying in the call, not gathering requirements to build later

• Write and extend Lang Graph-based workflow extensions and wrapped action customizations in Agent Studio

• Use Claude, OpenAI, and other LLMs across the entire workflow — requirements documentation, integration design, code generation, testing and deployment; LLMs are not a convenience tool, they are how this team works

• Participate in customer discovery and technical clarification calls — answering complex technical and product questions with concrete, innovative solutions in real time

• Write thorough root cause analyses for integration failures and own the fix through to resolution

• Perform code reviews on integration and AI workflow work and maintain the teams quality standards before any customer deployment

• Contribute to the teams reusable integration package and AI workflow template library as you build

• Mentor incoming FDEs — pair on hard problems, accelerate their ramp-up, and share institutional knowledge

• Collaborate with Implementation Managers, Customer Success Managers, Solutions Consultants, Product Managers, and Engineering to deliver seamless customer outcomes

Qualifications
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Required
:

• 0–4 years of software engineering experience — what matters more than tenure is the depth and quality of what you have built

• Strong proficiency in Java (required) — writes clean, optimized, production-grade code with proper error handling, test coverage, and clear design thinking from day one

• Strong foundations in data structures and algorithms — able to reason about time and space complexity, choose the right data structures for the problem, and write code that performs at scale without being told how

• Strong software design instincts — designs integration solutions that are modular, maintainable, and built to evolve; doesnt just write code that works today, writes code that holds up over time

• Writes code at speed without sacrificing quality — can take a customer requirement from problem statement to working, deployed solution faster than traditional development cycles allow; this is a core expectation, not a nice-to-have

• Innovative problem solver — approaches integration and AI workflow challenges with genuine curiosity, finds non-obvious solutions, and doesnt default to the first approach that comes to mind

• Proficient in REST APIs, HTTP/HTTPS, SFTP, and core data formats — XML, EDI, JSON, flat files — can read, write, and transform all of them

• Working knowledge of enterprise integration patterns and how to apply them in distributed, multi-tenant systems

• Solid working understanding of LLMs, prompt engineering, and agentic workflow design — hands-on, not theoretical

• Uses Claude, OpenAI, or equivalent LLMs across the full workflow — requirements documentation, integration design, code generation, debugging, testing and deployment; not just as a coding assistant but as a core engineering tool

• Familiar with agentic frameworks such as Lang Graph or Lang Chain and has built or configured at least one AI workflow in production or a meaningful side project

• Understands authentication patterns: OAuth 2.0, API keys, basic auth, token lifecycle management

• Comfortable on customer calls — communicates technical concepts clearly to both technical and non-technical stakeholders

• Able to deploy agentic workflows live with customers present, handling configuration and troubleshooting in the moment

Preferred
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• Experience in supply chain, logistics, transportation, or B2B SaaS platforms is a strong plus

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