VP, Enterprise GenAI Backend Engineer, Group Technology & Ops
Core
Design, build, and improve production-grade GenAI applications at the intersection of software engineering, enterprise integration, and operational delivery.
Role type
Senior IC GenAI Application Engineer (Enterprise Backend)
Builds
Production-grade GenAI applications, agentic workflows, and integrated enterprise solutions
Domain
Finance / Banking / Generative AI
Deliverable
production ML models
Required skills
LangGraph, LangChain, RAG, agentic workflows, tool calling, prompt orchestration, Python, Java, API design, distributed systems, observability, Kubernetes, OpenShift
Preferred skills
DeepAgent, Langfuse, Elastic, Redis, vLLM, cloud deployment
Technologies
LangGraph, LangChain, Kubernetes, OpenShift, Python, Java, Redis, vLLM, Langfuse, Elastic
Responsibilities
Build and improve GenAI applications using orchestration tools; Develop agentic workflows, retrieval augmented generation, and tool calling; Integrate GenAI applications with enterprise systems and APIs; Engineer solutions for production quality including logging, tracing, and fallback behavior; Challenge weak designs and propose better ones; Coordinate across application, data, platform, security, and infrastructure teams.
Seniority
Senior, hands-on IC
