Senior DevOps Engineer, AI Infrastructure
Core
Design, develop, and implement Generative AI (GenAI) solutions, including Agentic AI, LLMs, and RAG pipelines, to solve complex financial problems in risk assessment, fraud detection, and automated reporting.
Role type
Senior IC DevOps Engineer specializing in AI Infrastructure and GenAI application deployment
Builds
Production GenAI applications, AI Agents, and dynamic context retrieval systems for financial operations
Domain
Financial Services / Generative AI / LLM Infrastructure
Deliverable
production ML models
Required skills
GenAI model architecture, Agentic AI concepts, LLM fine-tuning and evaluation, prompt engineering, Python, Vector Databases (Qdrant, Pinecone, pgvector), RAG pipelines (LlamaIndex, LangGraph), MLOps, containerization (Docker/Kubernetes), CI/CD, cloud infrastructure (AWS/Azure/GCP)
Preferred skills
Financial data domain expertise, conversational AI design, data visualization tools, SQL databases
Technologies
AWS Bedrock, LangGraph, LlamaIndex, Qdrant, Pinecone, pgvector, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Design and implement AI Agents with guardrails and tool orchestration; Architect and scale RAG and semantic search infrastructures; Develop and refine advanced prompting strategies; Test and evaluate LLM performance; Deploy and maintain GenAI models in production environments; Process and analyze large structured and unstructured datasets
Seniority
Senior, hands-on IC