Founding AI Engineer

Job Description Founding AI Engineer (LLMs / Applied AI Systems) Location: Remote or Bay Area Preferred Type: Full-Time / Founding Team Experience Level: 1+ Years (Startup / AI Research-to-Production Experience Preferred) About Us AtlasNova.ai is building the AI-powered “Virtual Expert Team” for 35M small business owners. We help offline merchants like restaurants, retail, and local service providers access expert-level marketing, operations, and finance capabilities — powered by intelligent AI agents and their own business data. We’re backed by top investors and are now growing our founding engineering team to advance the frontier of applied AI for SMBs. What You’ll Do • Design, train, and deploy AI/LLM-powered agents for real-world SMB workflows • Build retrieval-augmented generation (RAG) pipelines, embeddings, and multi-agent orchestration • Evaluate and fine-tune models for accuracy, reliability, and performance • Work on data ingestion & unification: POS, ERP, e-commerce, CRM, ads, reviews • Prototype fast, validate with real users, and iterate on productized AI features • Influence core AI/ML architecture and research directions as a founding member We’re Looking For Someone Who... • Has 1+ years of hands-on AI/ML experience (NLP, LLMs, applied ML) • Has shipped production AI features, not just research or demos • Understands both ML engineering (training, fine-tuning, eval) and MLOps (deployment, monitoring) • Loves working in scrappy, 0→1 startup environments • Is product-minded: cares about impact on SMB owners, not just model benchmarks • Excited to grow into a tech lead or head of AI role as we scale Tech Stack (Current & Planned) • AI: OpenAI, Llama, Claude, LangChain, RAG frameworks • Vector DBs: Pinecone, Weaviate, FAISS • Data: POS & retail APIs (Square, Toast, Shopify, Yelp, Google Ads) • Infra: Python, FastAPI, Supabase, AWS What We Offer • Founding equity in a high-conviction AI startup • Ownership over the AI roadmap and architecture • A fast-moving, product-first environment with real customer deployments • Remote flexibility and async-friendly culture • A chance to shape the next wave of AI x SMB adoption