Applied AI Engineer | $150k-$175k + Hybrid + Equity | Exciting High-Growth AI-Powered Operational Intelligence Startup

PhillyTech.Co • Radnor Township, PA

1d • $150,000 - $175,000 • Hybrid

About The Position

Our client is hiring 2 Applied AI Engineers to help build production-grade AI systems powering operational intelligence, workflow automation, and enterprise customer experiences. You will work directly on AI-native product infrastructure, including LLM workflows, AI agents, retrieval systems, orchestration pipelines, and scalable AI-powered product capabilities. This is a highly visible engineering role with direct impact on the company’s product direction and long-term AI strategy.

Requirements

• 3 to 8+ years of experience building and shipping production-grade backend, AI, or software infrastructure systems used in real-world customer environments.
• Production experience building AI workflows, AI agents, or LLM-powered systems
• Strong Python experience
• Experience with vector databases, RAG systems, or AI orchestration frameworks
• Experience building scalable backend systems and APIs
• Startup mentality with strong ownership and execution focus

Responsibilities

• Build and ship production-grade AI workflows, agents, and LLM-powered systems that directly support enterprise customer operations, scalability, and real-world business outcomes.
• Design scalable retrieval, orchestration, and AI infrastructure pipelines
• Build AI-native product capabilities used by enterprise customers
• Support prompt engineering, evaluation systems, and AI reliability workflows
• Improve scalability, observability, and performance of AI systems in production
• Help architect an AI-first infrastructure
• Contribute to long-term AI product and platform strategy

Benefits

• 10 days PTO
• Equity
• Paid holidays
• Work-from-home equipment provided, including laptop and monitors
• Health, medical, and vision coverage
• Early-stage startup environment with direct impact on product and company growth
• Opportunity to help shape the future of an AI-native enterprise platform

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed