Lead AI Engineer
Core
Lead the design, implementation, and productionization of ML/NLP solutions and generative AI systems (LLMs, RAG, AI agents) to enhance customer experiences and internal workflows.
Role type
Senior IC Lead AI Engineer (Generative AI & MLOps)
Builds
Production ML/AI systems, LLM applications, RAG pipelines, and AI agent frameworks for banking customers.
Domain
Financial Services / Generative AI / Machine Learning
Deliverable
production ML models
Required skills
Machine learning algorithms, Natural language processing, Large Language Model application development, Retrieval-Augmented Generation (RAG) pipeline design, AI agent orchestration, MLOps strategy, Model serving and monitoring, Transformer model fine-tuning, Evaluation framework design
Preferred skills
Statistics and experimental design, Agentic search and query planning, Hybrid search architecture, Parameter-efficient fine-tuning (LoRA, QLoRA), AI evaluation platforms (RAGAS, DeepEval), Multi-agent framework design
Technologies
PyTorch, Hugging Face Transformers, LangGraph, sentence-transformers, BERT, GPT, Llama, Mistral, CrewAI, Claude Code, OpenAI Codex, RAGAS, DeepEval
Responsibilities
Lead and deliver ML/NLP solutions in production; Leverage LLMs to drive ML/DS workflows; Design and implement RAG pipelines; Build and evaluate AI agents; Optimize token usage and context management; Train and serve embedding models; Build transformer-based models for classification and generation; Own productionization including serving and monitoring; Drive technical direction and MLOps strategy.
Seniority
Senior, hands-on IC with leadership responsibilities