AI Engineer
Core
Design, build, and deploy production-ready generative AI systems using large language models, GPU-accelerated computing, and modern API frameworks to support enterprise applications.
Role type
Senior IC generative AI software engineer
Builds
Scalable generative AI applications, LLM pipelines, RAG systems, and microservices
Domain
Financial services / Generative AI
Deliverable
production ML models
Required skills
Python, LLM development, RAG architecture, Azure Foundry, Docker, Kubernetes, GPU-backed compute, vLLM, Neo4j, graph-enhanced RAG, CI/CD pipelines, distributed training, CUDA, RAPIDS
Preferred skills
Multimodal models, agent frameworks, low-latency model deployment
Technologies
Azure, Databricks, Delta Lake, FastAPI, Neo4j, Stardog, Azure Cosmos DB for Apache Gremlin, vLLM, CUDA, RAPIDS
Responsibilities
Design, develop, fine-tune, and deploy generative AI models into scalable production environments; Build and maintain APIs and microservices using FastAPI; Collaborate with AI Infrastructure team to architect robust LLM pipelines including training workflows and RAG systems; Integrate AI solutions into enterprise applications using secure, cloud-native architectures; Build and operate data ingestion, transformation, and orchestration pipelines; Integrate graph databases into AI applications to model relationships; Ensure AI models are explainable, reliable, and compliant with regulatory standards; Monitor and improve application and model performance using evaluation frameworks.
Seniority
Senior, hands-on IC