Senior AI Engineer
Core
Design and build production-grade AI applications and services using Python, integrating LLMs, backend services, and enterprise systems to solve business use cases.
Role type
Senior IC applied AI engineer (LLM/backend)
Builds
Production AI applications, backend services, APIs, and workflows incorporating LLMs
Domain
Enterprise software, Applied AI, LLMs
Deliverable
production ML models | product features
Required skills
Python, backend engineering, LLM integration, API design, software testing, CI/CD, observability, probabilistic system reliability, enterprise system integration
Preferred skills
RAG, semantic search, embeddings, vector databases, agentic workflows, structured LLM outputs, tool calling, schema-driven patterns, AI evaluation platforms, cloud infrastructure, containerization, Microsoft Azure AI Foundry, Microsoft Fabric, Databricks
Technologies
Python, LLMs, APIs, Vector databases, Microsoft Azure AI Foundry, Microsoft Fabric, Databricks
Responsibilities
Design and build production-grade AI applications and services; Translate business requirements into technical solutions; Build backend services and APIs incorporating LLMs; Design evaluation frameworks and test cases for AI outputs; Implement observability and monitoring for AI systems; Integrate AI applications with enterprise data platforms; Diagnose and resolve issues in deployed applications; Contribute to architecture and technology decisions; Review engineering work and establish best practices; Work with clients and stakeholders to refine requirements
Seniority
Senior, hands-on IC