Lead AI/ML Engineer
Core
Lead the end-to-end development of scalable AI-powered applications, focusing on Generative AI and Large Language Models (LLMs) for production environments.
Role type
Senior IC Lead AI/ML Engineer (GenAI/LLM)
Builds
Scalable AI-powered applications, autonomous agents, chatbots, and complex automation tools
Domain
Artificial Intelligence, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Python, System Design, PyTorch, TensorFlow, Scikit-learn, LLM Architecture, RAG Pipelines, Vector Databases (FAISS, Pinecone, Weaviate), Model Fine-tuning (LoRA, QLoRA), Agentic Frameworks (LangChain, LlamaIndex), Prompt Engineering, MLOps, Docker, Kubernetes, Cloud Platforms (AWS, GCP, Azure)
Preferred skills
None stated
Technologies
PyTorch, TensorFlow, Scikit-learn, FAISS, Pinecone, Weaviate, LLaMA, GPT, LoRA, QLoRA, LangChain, LlamaIndex, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and implement LLM-based applications (agents, chatbots), architect and optimize RAG pipelines, fine-tune open-source and proprietary models, develop agentic workflows, manage full ML lifecycle from data to production, drive architectural decisions for AI platforms, write high-performance Python code and manage CI/CD pipelines, mentor team members, ensure system scalability and performance under heavy workloads, optimize inference latency and costs, implement evaluation frameworks and feedback loops
Seniority
Senior, hands-on IC with leadership responsibilities
