Applied AI Engineer | $150K-$175K + Hybrid + Equity | High Growth AI Operational Intelligence Startup
About The Position
This role is hybrid, working onsite in Wayne, PA - 1 day per week, typically Tuesday or Thursday. ARE YOU READY TO HELP BUILD THE MISSING AI OPERATIONAL LAYER POWERING THE FUTURE OF ENTERPRISE CUSTOMER EXPERIENCE? Our client is a fully funded, AI SaaS startup currently operating in stealth mode and preparing for rapid enterprise scale. They are building a next generation operational intelligence platform focused on solving massive workflow, visibility, and execution challenges across complex enterprise networks. Their platform combines AI workflows, real time data systems, and enterprise grade infrastructure to modernize how large organizations manage customer experience at scale. Our client is currently in rapid growth mode, actively expanding its engineering organization as it continues advancing conversations and partnerships with enterprise customers across the industry. This is a rare opportunity to make a BIG Impact at an early stage high growth startup. They have strong funding, experienced founders, real enterprise traction with product market fit, and a highly technical product vision centered around AI native infrastructure from day one.
Requirements
- 4-7+ 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.
- Extremely organized and self sufficient with the ability to work independently in a fast paced environment with changing requirements.
- Excited to work in a startup environment with a track record of being adaptable to changing priorities in a fluid high growth environment.
- Proven experience working on entire features, from concept through to production deployment ensuring the feature is built and deployed in a timely fashion.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
