Company Description
Title: Lead AI Engineer
Company: GENEREX
Location: OFFSITE
Job Type: Full-time
Seniority Level: Lead / Principal
Industry: AI Software, SaaS, Business Automation
Application Email: david@sellcx.com and vikash@sellcx.com
Generex is building the future of AI-driven business infrastructure. Our flagship product, the Experience Window, transforms traditional websites into intelligent conversational interfaces—powered by proprietary knowledge graphs, multi-agent orchestration, and outcome-driven workflows. Founded by the creators of JOBPROGRESS, we’re now scaling our newest vision: empowering SMBs and value chain partners with a voice-first, context-rich AI business layer.
We are backed by decades of industry success, product-market fit, and a bold 5-year plan to convert, onboard and retain 25,000+ businesses.
Role Description
We’re hiring a Lead AI Engineer to help architect, own, and scale the agentic backend of Generex—what we call the Generex Intelligence Framework. You’ll work directly with the founder and CTO (Vikash) to bridge graph-based knowledge systems with outcome-driven multi-agent experiences across websites, phone calls, email, and SMS.
This is a unique opportunity to lead foundational AI work, integrate with cutting-edge models, and build systems that power real-time customer experiences for thousands of small businesses.
What You’ll Do
• Contribute, extend, improve and commit daily to the AI backend powering the Experience Window and its agentic orchestration layer.
• Develop and scale Graph RAG systems using Neo4j or similar KGs.
• Implement multi-agent systems aligned with business outcome tagging (SellPRO, CustomerPRO, CompanyPRO).
• Oversee ingestion pipelines for websites, documents, and media into structured graph-based ontologies.
• Integrate foundation models and LLMs with memory, context, and real-time personalization.
• Collaborate on system-wide metrics to track signal-to-outcome performance across use cases.
• Lead technical documentation and version control for sustainable product growth.
What We’re Looking For
• 5+ years in AI/ML or NLP engineering, with production-level experience.
• Strong hands-on experience with Neo4j (or similar graph DBs), LangChain, LlamaIndex, or RAG frameworks.
• Deep familiarity with LLM orchestration, multi-agent systems, prompt engineering, and embeddings.
• Python expert with clean, modular code practices and Git-based workflow experience.
• Bonus: Experience in building voice-enabled interfaces, deploying to AWS, and working in startup-scale MVPs.
What We Offer
• A mission-driven role with huge ownership from day one.
• Opportunity to shape the foundation of a scalable AI business layer.
• Hands-on work with visionary leadership, domain experts, and startup veterans.
• Competitive compensation, future equity, and growth opportunities as the team scales.