
AI Innovation Lead
6 days ago
We're seeking a seasoned professional to spearhead the development and deployment of cutting-edge AI systems. This individual will drive innovation, experimentation, and growth across markets.
Key Responsibilities:
- Design & Build AI Systems: Develop end-to-end pipelines for data ingestion, cleaning, embeddings, model training, evaluation, and deployment.
- Engineer Scalable Infrastructure: Architect APIs, microservices, and data systems (structured + unstructured) that seamlessly integrate into live products.
- Experiment & Ship: Prototype generative AI tools, retrieval-augmented generation (RAG) systems, and autonomous agents—and push them into production.
- Full-Stack Thinking: Move fluidly between model work, backend engineering, and systems design.
- Collaborate Across Ventures: Work alongside product managers, designers, and founders to bring new AI-powered ventures to life.
What We're Looking For:
- A strong programming background (Python, Node.js, or similar) with deep comfort in software engineering best practices.
- Experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.).
- Knowledge of data engineering & databases (SQL/NoSQL, vector DBs like Pinecone/Weaviate, cloud storage).
- Familiarity with MLOps and deployment (Docker, Kubernetes, AWS/GCP/Azure).
- Hands-on exposure to retrieval systems, embeddings, and RAG pipelines.
- A builder's mindset—comfortable taking ownership from zero-to-one.
- Experience with multi-modal systems (text, voice, vision).
- Interest in generative agents, conversational AI, or recommendation engines.
- Previous work in startups or venture studios.
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