AI Application Engineer

We are seeking a hands-on AI Application Engineer to help bridge the gap between rapid AI prototyping and production-grade software delivery.

In this role, you will help establish a structured path to production for high-potential AI use cases—transforming initial prototypes into secure, scalable, and fully governed applications.

Sitting within our core engineering division, you will collaborate with product owners, data engineers, security specialists, and business stakeholders to refactor, harden, and scale AI-driven solutions across the organization.

Key Responsibilities

Re-architect early-stage AI prototypes and experimental code into maintainable, production-ready software using clean architecture, secure authentication, and robust APIs.

Design and build end-to-end AI capabilities, including conversational interfaces, Retrieval-Augmented Generation (RAG) architectures, workflow agents, and enterprise automation tools.

Build and maintain scalable applications across front-end UI, back-end APIs, database integrations, authentication, logging, and monitoring systems. Implement AI safety patterns, including retrieval grounding, prompt management, input/output filtering, audit logging, and human-in-the-loop workflows.

Develop standardized starter templates, reusable patterns, and engineering playbooks to accelerate AI delivery across multiple teams. Build automated testing suites (functional, regression, prompt quality, and guardrail validation) and implement system monitoring for latency, token usage, cost, and error tracking.

Partner with platform engineers to deploy applications via modern CI/CD pipelines, containerization standards, and enterprise cloud infrastructure. Maintain solution designs, standard operating procedures, and support guides to ensure long-term maintainability.

Required Qualifications 7+ years of hands-on software development experience building and supporting enterprise-grade or cloud-native applications. Strong expertise in modern languages