Senior Customer Engineer

About This Opportunity

We are representing a confidential supply chain technology organization in their search for a Senior Customer Engineer based in India. This is a unique technical role that blends deep software engineering with direct enterprise customer engagement—you will own complex integrations and AI-driven workflow implementations from discovery through deployment.

Our client operates at the intersection of real-time logistics data and AI automation, serving global enterprise customers. As Senior Customer Engineer, you will be the primary technical contact for major accounts, designing and deploying production systems that solve ambiguous supply chain challenges—often in real time during customer sessions.

Responsibilities

• Own complex integration and AI agent implementations end-to-end for 2–4 enterprise accounts, from technical discovery through go-live and post-launch enhancement
• 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, including regression testing and validation before each customer deployment
• Deploy AI agent workflows live during customer calls—configuring and troubleshooting in the room, not gathering requirements to build later
• Run customer discovery sessions independently and propose technically credible, innovative solutions on the spot
• Use Claude, OpenAI, and other LLMs across the entire workflow—from capturing requirements and designing integrations to generating specs, writing code, testing, and deployment
• Represent the organization from a technical lens during presales engagements, articulating integration architecture and agentic workflow capabilities to prospective enterprise customers
• Join scoping and strategic customer calls to tackle the highest-complexity technical and product questions
• Perform code reviews on integration and AI workflow work and enforce quality standards before deployment
• Mentor junior engineers—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 delivery timelines
• Collaborate with implementation managers, customer success, solutions consultants, product, and engineering to deliver seamless customer outcomes

What We're Looking For

Required qualifications:

• 6–9 years of software engineering experience, with meaningful depth in integration engineering, system design, or a customer-facing technical role
• 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
• Strong software design skills—architects integration and AI workflow systems that are modular, resilient, observable, and built to evolve
• Writes optimized code at speed—takes a customer problem from discovery to deployed solution faster than traditional development cycles
• Innovative problem solver—brings genuine creativity to hard integration and AI workflow challenges; finds approaches that are technically sound, elegant, and often non-obvious
• Deep expertise in enterprise integration patterns and how to apply them across complex, multi-system environments
• 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
• 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

Preferred qualifications:

• Experience in supply chain, logistics, transportation, or B2B SaaS platforms
• Deep familiarity with enterprise integration patterns and a track record of applying them to complex, multi-system enterprise environments
• Familiarity with EDI standards, carrier integrations, TMS/WMS systems, and supply chain data flows
• Experience with low-code/no-code workflow automation platforms such as Pipedream, n8n, Temporal, or equivalent
• Snowflake experience and familiarity with large-scale data investigation across multi-tenant environments
• Proficient with Lucidchart, Miro, draw.io, or similar tools to document and communicate integration architectures and agentic workflow designs visually
• Background working in a Forward Deployment, Field Engineering, or similar customer-embedded technical role with supply chain or logistics industry exposure

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and technical capabilities. If there's a strong match, we submit your profile to our client for consideration. Please do not attempt to contact the client organization directly—all communication regarding this opportunity should flow through Get A Job.ai to ensure a coordinated and professional process.

Pay

Pay details will be discussed during the screening process and are competitive for this role and location in India.

Equal Opportunity

Get A Job.ai is an equal opportunity recruiter. We celebrate diversity and are committed to creating an inclusive process for all candidates regardless of background, identity, or circumstance.