Job Description: 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
- Work with LLMs, vector search, structured data, and enterprise workflows
- Collaborate with domain experts, iterate quickly, and own the full tech stack from backend services to frontend interfaces
This is a zero-to-one opportunity to build production-grade AI tools that scale and impact real businesses.
What You'll Do
- Architect and develop AI-powered products for procurement and supply chain use cases
- Develop LLM features utilizing Retrieval-Augmented Generation (RAG), prompt engineering, and custom context pipelines
- Implement semantic document search with vector databases like Chroma or FAISS
- Build Python backend services for data ingestion, transformation, and AI pipelines orchestration
- Work with structured enterprise data (ledgers, SaaS exports, CSVs) for insights and analytics
- Design or collaborate on frontend dashboards, chat interfaces, and user-facing tools (React or similar)
- Translate workflows into intuitive UI/UX with strong usability principles
- Ensure reliability, explainability, and data privacy in enterprise-grade systems
- Contribute to product roadmap, features, and rapid iteration cycles with teams
- Take ownership of the full stack and help shape a scalable, AI-first architecture
What We're Looking For
- 5–7+ years in software engineering, full-stack development, or AI/ML product engineering
- Hands-on experience deploying LLM features in production with platforms like OpenAI, Claude, LLaMA, or Mistral
- Strong Python skills; familiarity with LangChain, LLaMA Index, or similar
- Experience with vector search, semantic indexing, chunking strategies
- Backend engineering expertise: designing modular APIs, microservices, orchestration layers (FastAPI, Flask, Django)
- Proficiency in frontend frameworks like React or Vue
- UI/UX principles understanding for workflow-to-interface translation
- Familiarity with structured data workflows (pandas, SQL, validation pipelines)
- Cloud environment experience (Docker, GitHub Actions, AWS/GCP)
- Pragmatic, product-focused mindset
Bonus:
- Domain knowledge in procurement, supply chain, legal tech, or enterprise SaaS
- Mentoring experience or contribution to team scaling
Why Join Us?
- Build meaningful AI products that solve real-world problems
- Collaborate with domain experts and access real data from day one
- Operate with autonomy, rapid iterations, and strategic backing
- Influence the tech foundation of an ambitious AI-native company
- Competitive pay, flexible remote work, and potential equity
Job Highlights
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