Post-Sales Engineer

About the Role

In this role, you'll turn validated AI solutions into working customer deployments. You will work directly with customers to implement workflows, integrate enterprise systems, and demonstrate that the solution meets agreed technical acceptance criteria. You will adapt reusable agent components, configure customer environments and instrumentation, and diagnose integration, retrieval, model, and workflow issues. You will establish customer evaluation baselines, coordinate readiness reviews, and prepare deployment, rollback, troubleshooting, and enablement materials. Your accountability includes implementation quality, initial deployment, technical acceptance, and explicit handover to designated operational owners and Customer Success. You will return reusable improvements and recurring defects to engineering.

Key Responsibilities

• Implement workflows, integrate enterprise systems, and demonstrate that the solution meets agreed technical acceptance criteria.
• Adapt reusable agent components.
• Configure customer environments and instrumentation.
• Diagnose integration, retrieval, model, and workflow issues.
• Establish customer evaluation baselines.
• Coordinate readiness reviews.
• Prepare deployment, rollback, troubleshooting, and enablement materials.
• Ensure implementation quality, initial deployment, and technical acceptance.
• Handover to designated operational owners and Customer Success.
• Return reusable improvements and recurring defects to engineering.

Requirements & Tech Stack

• Experience delivering customer-facing software or AI implementations from requirements through deployment and technical handover.
• Experience in Python or TypeScript.
• Experience integrating enterprise APIs, authentication, data sources, and business workflows.
• Experience developing or adapting agent workflows, model integrations, retrieval-augmented generation, and tool connections.
• Experience deploying applications in cloud or enterprise environments.
• Experience configuring access, secrets, and application security controls.
• Experience building customer-specific test and evaluation suites.
• Ability to validate results against agreed quality and performance thresholds.
• Ability to implement end-to-end instrumentation.
• Ability to use traces, logs, and metrics to troubleshoot behavior, integrations, latency, and cost.
• Ability to prepare deployment and rollback procedures, runbooks, solution inventories, and technical knowledge-transfer materials.
• Ability to manage implementation dependencies.
• Ability to communicate limitations.
• Ability to obtain explicit acceptance of deliverables and support responsibilities.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.

Qualifications

• Bachelor’s degree.

Nice to Have

• Experience with LangGraph, MCP servers, LangSmith, Langfuse, or comparable integration and observability tools.
• Experience coordinating production readiness reviews and customer-specific incidents during implementation.
• Experience converting customer implementation patterns into reusable components, templates, or engineering improvements.