Job Title

About ValorantValorant 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 RoleAs 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 DoArchitect and build AI-powered products for procurement and supply chain use casesDevelop LLM features using RAG (Retrieval-Augmented Generation), prompt engineering, and custom context pipelinesImplement semantic document search using vector databases (Chroma, FAISS, etc.)Build Python backend services for data ingestion, transformation, and orchestration of AI pipelinesWork with structured enterprise data (e.g., ledgers, SaaS exports, CSVs) to extract insights and power analyticsDesign 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 principlesEnsure enterprise-grade reliability, explainability, and data privacyContribute to product roadmap, feature planning, and fast iteration cycles with consultants and PMsTake ownership of the full stack and help shape a modern, scalable AI-first architectureWhat We’re Looking For5–7+ years of experience in software engineering, full-stack development, or AI/ML product engineeringHands-on experience shipping LLM features in production (OpenAI, Claude, LLaMA, Mistral, etc.)Strong Python skills; experience with LangChain, LLaMA Index, or similar frameworksExperience with vector search, semantic indexing, and chunking strategiesBackend engineering experience: designing modular APIs, microservices, and orchestration layers (FastAPI, Flask, Django, etc.)Proficiency in frontend development using React, Vue, or similar frameworksUnderstanding of UI/UX principles and ability to turn workflows into usable interfacesFamiliarity with structured data workflows: pandas, SQL, and validation pipelinesExposure to cloud environments and dev tooling (Docker, GitHub Actions, AWS/GCP)Pragmatic, product-focused mindset — values useful outputs over academic perfectionBonus: Domain experience in procurement, supply chain, legal tech, or enterprise SaaSBonus: Experience mentoring junior engineers or contributing to team scalingWhy Join Us?Build meaningful AI products that solve real problems — not just tech showcasesCollaborate with domain experts and access rich real-world data from day oneOperate with autonomy, fast iteration cycles, and strong strategic backingShape the tech foundation of an ambitious, AI-native product companyCompetitive pay, flexible remote work, and potential equity for high-impact contributors