AI Forward Deployed Engineer | $120K-$150K + Hybrid + Equity | AI-Based Outage Intelligence Company

PhillyTech.Co•King of Prussia, PA

5d•Hybrid

About The Position

This is a hybrid role in King of Prussia, PA, 3 days per week in the office. This is a highly technical, AI-first position sitting at the intersection of Engineering, Customer Success, Infrastructure, Operations, and Automation. Our client builds an AI-powered Outage Intelligence Platform trusted by Fortune 500 companies to automate incident response, outage diagnosis, ticket triage, and operational decision-making. This is a role for builders. Our client is hiring because the company is growing quickly, and engineering is getting pulled into customer requests, onboarding, tooling, integrations, and operational work. They need someone who can own those problems, build solutions, automate processes, and free up the rest of the team to focus on core engineering work. You'll work at the intersection of Engineering, Customer Success, and Operations, solving real customer problems, building automation, improving internal systems, and helping scale a platform trusted by Fortune 500 organizations. We're looking for someone who enjoys building AI-driven solutions, automating workflows, working directly with customers, and solving problems wherever they appear. You'll help customers deploy and scale AI-powered solutions, build internal tools and automations, improve operational workflows, eliminate manual processes, and work directly inside the production codebase to create real business impact. This role requires someone who sees a problem, takes ownership, and builds the solution. AI-first engineers who love automation, building systems, and solving complex technical problems. Technical generalists who can operate across backend engineering, infrastructure, AI workflows, and production systems while staying focused on business outcomes. This is not for engineers who want narrowly defined responsibilities, prefer working only from tickets, and need detailed requirements before taking action, or developers who want to stay exclusively focused on coding and avoid customer interaction, operations, or problem-solving. Success looks like building AI-powered automations and systems that eliminate manual work, improve efficiency, and create measurable business impact; partnering directly with customers and internal teams to identify problems, remove bottlenecks, and build solutions; and improving onboarding, implementations, infrastructure, reliability, and internal tooling while helping scale a category-defining AI platform used by leading enterprises. The Forward Deployed Engineer will work across Engineering, Customer Success, AI initiatives, and customer-facing projects to solve technical problems, build AI automations, improve workflows, and accelerate customer success. You may spend one part of your day helping a customer integrate with the platform, another part building AI-driven workflows and internal tooling, and another part deploying improvements directly into production. The ideal candidate takes pride in solving problems without being asked.

Requirements

3-5+ years of software engineering experience in AI, automation, infrastructure, platform, or backend environments.
Strong software engineering fundamentals.
Python experience is preferred, but the ability to quickly learn unfamiliar systems, contribute to production codebases, and ship solutions independently is more important than expertise in any specific technology stack.
Experience working in production environments and supporting real-world customer implementations.
Ability to quickly understand unfamiliar codebases, leverage AI development tools effectively, and contribute with minimal oversight.
Startup experience with a builder mentality and bias toward action.
Experience building APIs, backend services, AI workflows, automations, or internal tooling.
Comfortable working directly with customers, technical teams, and business stakeholders.

Responsibilities

Build and deploy production-ready solutions inside the core AI platform.
Develop AI-powered automations and internal tools that improve operations.
Support customer API integrations and onboarding efforts.
Partner with Customer Success to solve technical customer challenges.
Work directly with customers during implementation and technical discovery calls.
Improve onboarding and implementation workflows through automation.
Identify recurring problems and proactively build scalable AI-driven solutions.