Founding Full-Stack AI Engineer / Technical Product Lead

About Valorant

Valorant is a fast-growing procurement consulting firm helping mid-market and PE-backed companies transform operations. We’re now launching our next chapter: building AI products to radically automate and augment procurement workflows.

This isn’t about chatbot demos. We’re building real enterprise software with real client data, solving real problems.

About the Role

As our Founding Full-Stack AI Engineer / Technical Product Lead, you’ll drive the design, development, and launch of intelligent agentic systems that blend LLMs, vector search, structured data, and enterprise workflows. You’ll work closely with domain experts, iterate fast, and own the tech stack end to end—from backend services to frontend interfaces.

This is a zero-to-one opportunity to build production-grade AI tools that work at scale and matter to real businesses.

What You’ll Do

• Architect and build AI-powered products for procurement and supply chain use cases
• Develop LLM features using RAG (Retrieval-Augmented Generation), prompt engineering, and custom context pipelines
• Implement semantic document search using vector databases (Chroma, FAISS, etc.)
• Build Python backend services for data ingestion, transformation, and orchestration of AI pipelines
• Work with structured enterprise data (e.g., ledgers, SaaS exports, CSVs) to extract insights and power analytics
• Design or collaborate on frontend development for dashboards, chat interfaces, and user-facing tools (React or similar)
• Translate complex workflows into clean, intuitive UX with strong usability principles
• Ensure enterprise-grade reliability, explainability, and data privacy
• Contribute to product roadmap, feature planning, and fast iteration cycles with consultants and PMs
• Take ownership of the full stack and help shape a modern, scalable AI-first architecture

What We’re Looking For

• 5–7+ years of experience in software engineering, full-stack development, or AI/ML product engineering
• Hands-on experience shipping LLM features in production (OpenAI, Claude, LLaMA, Mistral, etc.)
• Strong Python skills; experience with LangChain, LLaMA Index, or similar frameworks
• Experience with vector search, semantic indexing, and chunking strategies
• Backend engineering experience: designing modular APIs, microservices, and orchestration layers (FastAPI, Flask, Django, etc.)
• Proficiency in frontend development using React, Vue, or similar frameworks
• Understanding of UI/UX principles and ability to turn workflows into usable interfaces
• Familiarity with structured data workflows: pandas, SQL, and validation pipelines
• Exposure to cloud environments and dev tooling (Docker, GitHub Actions, AWS/GCP)
• Pragmatic, product-focused mindset — values useful outputs over academic perfection
• Bonus: Domain experience in procurement, supply chain, legal tech, or enterprise SaaS
• Bonus: Experience mentoring junior engineers or contributing to team scaling

Why Join Us?

• Build meaningful AI products that solve real problems — not just tech showcases
• Collaborate with domain experts and access rich real-world data from day one
• Operate with autonomy, fast iteration cycles, and strong strategic backing
• Shape the tech foundation of an ambitious, AI-native product company
• Competitive pay, flexible remote work, and potential equity for high-impact contributors