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.

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

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.

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.

• 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.

Interview Process

• Initial conversation with our recruiting team (SaaS Talent)
• 1-hour introductory conversation with Founder / CEO
• Technical deep dive/system design interview
• Final 30-minute conversation with leadership and founders

About SaaS Talent

SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice.

Reach out to us at www.saas-talent.com to learn more about how we can help you.

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