Forward Deployed Engineer, FourKites

• 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; doesn't 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 doesn't 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 LangGraph or LangChain 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
• If you're excited about this role but don't meet every requirement, we encourage you to apply

Desirable

• As a Forward Deployment Engineer, you sit at the intersection of software engineering and customer impact
• You build and deploy AI-powered integration and agentic workflow solutions directly with enterprise customers — from the first technical discovery conversation through post-launch enhancements
• You are the engineer in the room who hears a customer problem and builds the solution
• Speed matters here — the ability to write optimized, production-grade code fast and deploy it to customers without long feedback cycles is what makes the FDE function valuable
• Strong data structures and algorithms fundamentals and an innovative, non-obvious approach to problem solving are core to what we look for
• AI fluency — building agentic workflows and using LLMs as a daily engineering tool — is a baseline expectation for everyone on this team, not a specialization
• 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 LangGraph-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 team's quality standards before any customer deployment
• Contribute to the team's 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