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Job description
A Multi-national, GenAI Startup offering one of the most highly scalable, open-source products on the market. They're a SOTA, multimodal GenAI suite revolutionizing how developers handle complex data with their Contextual AI/LLM powered solutions.
They've built the thing every enterprise AI team is currently duct-taping together by hand. A single platform that unifies graph, vector, document, and search into one comprehensive context layer for AI. With the ability to work with either structured, semi-structured, or unstructured data, it gives teams everything they need to build faster, smarter, and with way more context.
Partnered with 200+ tech giants, and trusted by organizations including NVIDIA, HPE, Zscaler, London Stock Exchange, U.S. Air Force, NIH, Siemens, and Articul8, this startup allows enterprises to move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership.
Your Role:
Build AI workflows, RAG pipelines, and integrate LLMs
Craft and deliver outstanding technical presentations / demos of the GenAI suite for customers
Drive POCs/POTs with ML / AI solutions
Work with our Engineering team to solve technical problems and build tailored solutions whilst acting as an SME for external stakeholders
Your Requirements:
Computer Science degree or similar
4+ yrs experience in industry / post education across either - AI/SW Eng, Solutions, or Pre-Sales
Experience finetuning LLMs, building RAG pipelines and AI workflows
Track record building / deploying AI & ML Solutions
Experience or interest in working in a technical solutions / customer facing capacity
Why Join This Team?
The chance to work and own genuinely cutting edge work / processes
Access and opportunities to collaborate with industry leading giants
Collaborate with a highly technical team where your work won't get diluted
Competitive compensation and significant bonus / OTE
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.