
AI Innovation Specialist
3 days ago
- Design and implement solutions using Large Language Models (LLMs)
- Develop and fine-tune prompt engineering strategies for performance optimization
- Work on Retrieval-Augmented Generation (RAG) pipelines and knowledge-grounded systems
- Apply a wide range of ML techniques including classification, clustering, embeddings, and optimization
- Collaborate closely with backend and AI engineering teams to integrate ML solutions into production systems
- Contribute to experimentation, model evaluation, and continuous improvement cycles
- Strong hands-on experience with LLMs (OpenAI, HuggingFace, etc.)
- Proficiency in prompt engineering, few-shot learning, and RAG frameworks
- Solid understanding of machine learning fundamentals and applied techniques
- Familiarity with tools like LangChain, Pinecone, Weaviate, or similar
- Ability to work independently and manage time effectively in a remote setting
- Eagerness to learn, adapt, and contribute proactively in a fast-paced environment
- Competitive compensation based on experience and capability
- Opportunity to work on cutting-edge AI systems
- Culture of speed, experimentation, and continuous learning
- Full-time internship with potential for permanent role after 3 months
We value commitment and curiosity over formal degrees. We appreciate individuals who take ownership and bring a solutions-first mindset. If you're excited to grow with a dynamic team, we'd love to hear from you.
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