AI/ML Engineer — Digital Twin

Location: Bay Area / Remote Type: Full-time Function: Artificial Intelligence, Machine Learning, Applied AI, Enterprise SaaS About Spiked.ai Spiked.ai is building the Digital Twin for Sellers — an AI platform that amplifies human cognition inside revenue conversations. We are creating a new category at the intersection of AI, sales intelligence, behavioral science, and enterprise workflow automation . Our platform helps revenue teams prepare better, influence live conversations, generate verified answers, forecast buyer questions, detect sentiment, create proposals, and automate post-meeting execution. This is not another meeting assistant or CRM add-on. Spiked.ai is building an omnipresent cognitive execution layer for revenue teams . We are looking for a highly talented AI/ML Engineer to help build the intelligence layer behind our Digital Twin platform. Role Overview As a Founding AI/ML Engineer, you will design, build, and optimize AI systems that power real-time seller intelligence, conversation understanding, buyer sentiment analysis, recommendation engines, question generation, answer verification, and revenue influence signals. You will work directly with the founding team to build production-grade AI capabilities that operate before, during, and after customer conversations. What You Will Build You will help develop AI/ML systems for: Real-time meeting intelligence and conversation analysis Buyer sentiment and influence detection Forecasted customer questions and seller response generation Verified answer generation with source grounding Revenue influence scoring and confidence signals Digital Twin memory and personalization RAG pipelines using enterprise knowledge sources Multimodal intelligence across voice, transcript, documents, CRM, email, and meeting data LLM orchestration, evaluation, and latency optimization AI agents that automate seller workflows after meetings Key Responsibilities Design and implement machine learning and LLM-based systems for enterprise revenue workflows. Build and optimize RAG pipelines, embeddings, vector search, retrieval ranking, and grounded answer generation. Develop models and prompts for conversation intelligence, buyer intent detection, sentiment analysis, and seller coaching. Work with large language models including OpenAI, Gemini, Claude, and open-source models. Create evaluation frameworks for AI accuracy, hallucination reduction, answer verification, and confidence scoring. Collaborate with product and engineering teams to ship production AI features quickly. Improve real-time AI performance, latency, cost, and reliability. Build systems that convert live customer conversations into actionable revenue intelligence. Ideal Candidate You are a builder who loves applying AI to real business problems. You are excited by the idea of creating a new category in enterprise AI and want to work on systems that directly impact revenue, selling, and customer engagement. You should have experience with: Python, machine learning, and applied AI development LLMs, prompt engineering, agents, and RAG architectures Vector databases such as Pinecone, Weaviate, OpenSearch, Chroma, or similar Embedding models, semantic search, and retrieval optimization NLP, speech-to-text, conversation analytics, or text classification Cloud platforms such as GCP, AWS, or Azure APIs, microservices, and production ML systems Model evaluation, observability, and AI safety practices Nice to Have Experience with enterprise SaaS, CRM, sales technology, or revenue intelligence platforms Experience with meeting data, transcripts, voice AI, or real-time collaboration tools Familiarity with HubSpot, Salesforce, Google Workspace, Zoom, Teams, or Meet integrations Experience building AI agents or workflow automation systems Knowledge of behavioral science, persuasion, buyer psychology, or sales methodology Startup experience or desire to build from zero to one Why Join Spiked.ai Help create a new category: Digital Twin for Sellers Work directly with founders on mission-critical AI systems Build AI that operates inside real enterprise revenue moments Join early and shape the product, architecture, and culture Work on cutting-edge problems across LLMs, RAG, agents, multimodal AI, and real-time intelligence Help define the future of selling in the AI era How to Apply Send your resume, LinkedIn profile, GitHub, portfolio, or examples of AI/ML systems you have built. We are especially interested i