Real-Time Transportation Visibility Platform
Senior Customer Engineer
Location
India
Posted
61 days ago
Salary
0
Seniority
Senior
Job Description
Senior Customer Engineer
FourKites, Inc.
• Own complex integration and AI agent implementations end-to-end — from technical discovery through go-live and post-launch enhancement — as the primary technical contact for 2–4 enterprise accounts • Design integration architectures with explicit attention to error handling, retry logic, observability, failure recovery, and multi-system authentication • Design and deploy agentic AI workflows that orchestrate supply chain operations — from requirements through production, including regression testing and validation before each customer deployment • Deploy AI agent workflows live with customers present — configuring and troubleshooting in the room during customer calls, not gathering requirements to build later • Run customer discovery sessions independently — hear a business problem and propose a technically credible, innovative solution on the spot without IM or management support • Use Claude, OpenAI, and other LLMs across the entire workflow — capturing requirements, designing integrations, generating integration specs, writing code, testing and deployment; the expectation is LLM-assisted work at every stage, not just at the keyboard • Represent FourKites from a technical lens during presales engagements — articulate integration architecture, agentic workflow capabilities, and platform extensibility to prospective enterprise customers alongside the Solutions and Sales teams • Join scoping and strategic customer calls alongside the SCA team to tackle the highest-complexity technical and product questions — come in with a point of view, not just answers • Perform code reviews on integration and AI workflow work from FDEs and enforce quality standards before deployment • Mentor FDEs — pair on hard problems, review their work consistently, and take accountability for their growth • Identify reusable integration patterns and AI workflow templates and formalize them for the team library • Scope and estimate level of effort for projects accurately and hold yourself accountable to those estimates • Collaborate with Implementation Managers, Customer Success Managers, Solutions Consultants, Product Managers, and Engineering to deliver seamless customer outcomes
Job Requirements
- 5–8 years of software engineering experience, with meaningful depth in integration engineering, system design, or a customer-facing technical role — what matters is the complexity and ownership of what you have built
- Strong proficiency in Java (required) and one or more of: Python or Ruby - writes clean, production-grade code with test coverage, clear design rationale, and a standard other engineers can follow
- Strong foundations in data structures and algorithms — designs systems that perform at scale, reasons about complexity tradeoffs under pressure, and makes the right architectural call for high-throughput, low-latency integration scenarios
- Strong software design skills — architects integration and AI workflow systems that are modular, resilient, observable, and built to evolve; can articulate the design, defend the tradeoffs, and produce a diagram that makes it legible to others
- Writes optimized code at speed — takes a customer problem from discovery to deployed solution faster than traditional development cycles; the ability to compress the build cycle without compromising quality is what enables customers to move faster
- Innovative problem solver — brings genuine creativity to hard integration and AI workflow challenges; finds approaches that are technically sound, elegant, and often non-obvious; complexity doesn't slow you down, it sharpens your thinking
- Deep expertise in enterprise integration patterns and how to apply them across complex, multi-system — knows when to apply which approach and can justify the tradeoffs
- Hands-on experience designing and deploying agentic AI workflows end-to-end using LangGraph or equivalent — not configuring templates, architecting systems
- Uses Claude, OpenAI, or equivalent LLMs across the full workflow — requirements documentation, integration design, spec generation, code generation, testing and deployment; treats LLMs as a core engineering capability, not a productivity shortcut
- Proven ability to run technical discovery sessions with enterprise customers independently and translate ambiguous business requirements into concrete technical specs
- Comfortable deploying agentic workflows live in a customer call — handles configuration, troubleshooting, and edge cases in the moment
- Strong SQL proficiency — writes queries to investigate customer data issues and validate integration output.
Benefits
- Medical benefits start on first day of employment
- 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days
- Home Office set ups and Technology reimbursement
- Lifestyle & Family benefits
- Mental Wellness support and guidance
- Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)
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