Senior Machine Learning Engineer, GFT
Core
Building and deploying production-grade GenAI applications, LLM-based solutions, RAG systems, and agentic workflows for enterprise use cases.
Role type
Senior Machine Learning Engineer (GenAI)
Builds
Production GenAI applications, LLM solutions, RAG systems, agentic workflows, and ML infrastructure
Domain
Financial Services / Generative AI
Deliverable
production ML models
Required skills
Python, LLM architectures, prompt engineering, RAG systems, vector databases, MLOps, cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), model optimization, agentic AI workflows
Preferred skills
Financial services domain knowledge, multi-agent orchestration, real-time streaming data, distributed systems, A/B testing frameworks, graph databases, transformer architectures
Technologies
LangChain, LangGraph, Hugging Face, OpenAI API, Anthropic Claude, Pinecone, Weaviate, pgvector, Chroma
Responsibilities
Develop and productionize advanced GenAI solutions; Optimize and deploy state-of-the-art ML models and AI agents; Build and maintain production-grade ML infrastructure; Implement RAG systems; Develop agentic AI workflows; Collaborate with stakeholders to translate requirements into technical solutions
Seniority
Senior, hands-on IC
