Applied AI Engineer
Core
Build and extend AI-powered internal platforms and tooling to automate workflows and improve reliability across corporate IT infrastructure.
Role type
Senior IC Applied AI Engineer (Infrastructure)
Builds
Internal AI platforms, API layers, and shared services for IT operations
Domain
Enterprise IT Infrastructure & AI
Deliverable
production ML models
Required skills
LLM platform ownership, RAG pipeline development, prompt engineering, MLOps, Python, TypeScript, AWS, Docker, Kubernetes, Terraform, Ansible
Preferred skills
Agentic frameworks (LangChain, LangGraph), MCP servers, vector databases, internal developer platforms
Technologies
Python, TypeScript, AWS (EC2, ECS/EKS, S3, RDS, Lambda, IAM, VPC), Docker, Kubernetes, Terraform, Ansible, GitHub, Artifactory
Responsibilities
Own and extend existing AI platforms; Architect internal API layers for AI workflows; Build AI-powered tooling for IT stack; Develop proof-of-concepts for automation; Containerize and orchestrate AI workloads; Automate infrastructure provisioning; Establish AI development patterns
Seniority
Senior, hands-on IC
