
AI Innovation Leader
14 hours ago
Role Summary:
- This is a unique opportunity to join a visionary team of experts in applied AI and drive business growth through innovation.
- We are seeking a highly skilled Generative AI Engineer to design and build intelligent systems, AI-powered tools, and data platforms that enable ventures to scale faster and smarter.
Key Responsibilities:
- Design end-to-end pipelines for data ingestion, cleaning, embeddings, model training, evaluation, and deployment.
- Architect APIs, microservices, and data systems that integrate into live products.
- Prototype generative AI tools, retrieval-augmented generation (RAG) systems, and autonomous agents—and push them into production.
- Maintain a full-stack mindset, moving fluidly between model work, backend engineering, and systems design.
Requirements:
- A strong programming background in Python, Node.js, or similar languages.
- Experience with ML/AI frameworks like PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.
- Familiarity with data engineering & databases (SQL/NoSQL, vector DBs like Pinecone/Weaviate, cloud storage).
- Knowledge of 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.
What We Offer:
We're on a mission to rethink digital transformation and product development with our collaborative approach. If you're passionate about building real-world AI solutions and shipping production-grade products, we'd love to hear from you.
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