Founding Generative AI Engineer

Founding Generative AI Engineer

Requirements

• 5+ years of hands-on ML/AI experience with at least 1 year of hands-on experience in GenAI/LLM projects
• Track record of successfully deploying ML/AI systems in production environments
• Experience working with enterprise customers and understanding their unique requirements
• Strong programming skills in Python, including expertise in ML stack (Hugging Face, NumPy, Pandas, scikit-learn)
• Production experience with deep learning frameworks (PyTorch/Tensorflow) and transformer architectures
• API development expertise (FastAPI) and production deployment experience
• Proven experience with prompt engineering best practices and LLM evaluation metrics

Responsibilities

• Design and implement sophisticated multi-agent systems that can understand context, make decisions, and enable seamless collaboration between AI and human data professionals.
• Build and optimize retrieval-augmented generation pipelines that can efficiently process and utilize enterprise-scale knowledge bases.
• Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models for specific enterprise data tasks, ensuring faster, more accurate performance.
• Develop and optimize cloud-native architectures (AWS, Kubernetes) for large-scale training, inference, and multi-agent orchestration.
• Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards.

Preferred Qualifications

• Experience with vector databases (e.g., Pinecone, Weaviate) and RAG pipelines
• Experience with observability and monitoring of LLM applications
• Proficiency in model compression, distillation, and deployment at scale
• Expertise in semantic search and embedding models
• Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems
• Advanced model fine-tuning techniques, including LoRA, Prompt Tuning, and Adapter Training