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1 day ago
We are seeking an experienced AI engineer to join our team of innovators.
This role involves designing and building AI systems, including end-to-end pipelines for data ingestion, cleaning, embeddings, model training, evaluation, and deployment.
About the Role- Design & Build AI Systems: Develop comprehensive AI solutions that integrate into live products.
- Engineer Scalable Infrastructure: Architect APIs, microservices, and data systems that meet business requirements.
- Experiment & Ship: Prototype 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 with product managers, designers, and founders to bring new AI-powered ventures to life.
- Strong programming background in languages such as Python or Node.js, along with deep comfort with software engineering best practices.
- 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).
- Familiarity with MLOps and deployment (Docker, Kubernetes, AWS/GCP/Azure).
- Hands-on experience with 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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