Ai Engineer
Core
Build and maintain scalable backend services and AI pipelines integrating NLP, LLMs, and OCR for enterprise document management.
Role type
Senior AI Engineer (Backend & MLOps)
Builds
AI as a Service APIs and inference services on Azure and on-premise
Domain
Enterprise B2B services, Natural Language Processing, Large Language Models
Deliverable
production ML models
Required skills
Python, Backend architecture, REST API design, SQL, Microsoft Azure, CI/CD pipelines, PyTorch
Preferred skills
NLP, Vector databases, Semantic search, RAG architectures, LLM serving (FastAPI/LitServe), MLOps tools (MLflow, Azure DevOps), Container orchestration (OpenShift), IaC (Terraform), .NET/C#
Technologies
Python, PyTorch, Microsoft Azure, FastAPI, LitServe, MLflow, LakeFS, Terraform, OpenShift, SQL
Responsibilities
Translate business requirements into scalable software architectures and reliable AI pipelines; Design, develop, and optimize backend services and inference APIs for ML/DL models; Manage deployment, configuration, and continuous monitoring of services on cloud and on-premise; Evaluate technical trade-offs regarding release times, computational costs, latency, and maintainability; Ensure code quality through refactoring, automated testing, code reviews, and observability; Collaborate on internal best practices and produce technical documentation, feasibility analyses, and PoCs.
Seniority
Mid-Senior (4-6 years experience)
