VP1 Senior GenAI Engineer, GMET
Core
Design, build, and improve production-grade GenAI applications that integrate with enterprise systems, focusing on reliability, observability, and maintainability.
Role type
Senior GenAI Application Engineer (Production Delivery)
Builds
Production-grade GenAI applications, agentic workflows, and enterprise integrations
Domain
Banking / Enterprise Software Engineering
Deliverable
production ML models | product features
Required skills
Production GenAI application engineering, LangGraph, LangChain, RAG, agentic workflows, tool calling, prompt orchestration, open-weight model integration, Python, Java, API design, distributed systems, observability, logging, tracing, Kubernetes, OpenShift
Preferred skills
DeepAgent, Langfuse, Elastic, Redis, vLLM, cloud deployment
Technologies
LangGraph, LangChain, Python, Java, Kubernetes, OpenShift, Redis, vLLM
Responsibilities
Build and improve GenAI applications using orchestration tools; Develop agentic workflows, RAG, and tool calling; Integrate GenAI applications with enterprise systems and APIs; Engineer solutions for production quality including logging, tracing, and evaluation; Work across application, data, platform, security, and infrastructure teams.
Seniority
Senior, hands-on IC