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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
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