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 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 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 and flexible remote work.