Get AI-powered advice on this job and more exclusive features. We’re looking for a Generative AI Engineer to be a strategic partner to product, a hands-on technical lead, and a core driver of what we build and how we build it. If you’re excited by building GenAI systems from 0 to 1—we’d love to talk. What You’ll Do Partner closely with product leadership to turn early ideas into prototypes, and prototypes into production-ready GenAI applications Design and build full-stack AI systems, leveraging the latest LLMs (GPT-4, Claude, Mistral, LLaMA, etc.) and agentic frameworks (e.g., LangGraph, CrewAI) Own the 0-to-1 architecture for RAG, agentic workflows, and document intelligence pipelines—across retrieval, orchestration, prompting, and output handling Experiment, build, and iterate rapidly, deploying MVPs and evolving them based on real user feedback Build intelligent document processing (IDP) systems—extracting, understanding, and generating insights from complex documents Evaluate and benchmark models - Rapidly test different models, prompts, and configurations to optimize performance for target tasks Help shape our AI strategy and tech roadmap, staying on top of what’s emerging in AI and identifying what we should adopt early What We’re Looking For Collaborative and comfortable working in a fast-paced startup environment Hands-on experience building GenAI products with real user-facing impact Deep understanding of LLMs, prompt engineering, RAG, and agentic workflows Familiarity with tools like LangChain, LlamaIndex, Hugging Face, and vector DBs (Pinecone, Weaviate, FAISS, etc.) Experience working with LLMs via APIs (OpenAI, Anthropic, etc.) and/or deploying open-source models Strong software engineering best practices—you write clean, maintainable, production-grade code Comfort with AWS cloud infrastructure Bonus Points For Experience with intelligent document processing (IDP), form understanding, or document-based retrieval Prior work using agentic frameworks (LangGraph, CrewAI, AutoGen) Knowledge of NLP techniques, embeddings, and LLM evaluation metrics Background in applied ML/AI research or AI product development at an early-stage company Seniority level Mid-Senior level Employment type Full-time Job function Sales, General Business, and Education Industries Wireless Services, Telecommunications, and Communications Equipment Manufacturing This job posting appears to be active and does not indicate that it is expired. #J-18808-Ljbffr HubSync
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