AI/ML Engineer
Core
Design, develop, integrate, and deploy generative AI, LLM, RAG, and AI agent solutions to improve enterprise business processes and decision-making.
Role type
AI/ML Engineer (Generative AI & LLMs)
Builds
LLM-powered applications, intelligent workflows, and production AI models
Domain
Enterprise Technology / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, LLMs, RAG, Prompt Engineering, API Integration, MLOps, Cloud AI Platforms, Data Pipelines, AI Evaluation
Preferred skills
LangChain, LlamaIndex, Semantic Kernel, Vector Databases, Kubernetes, Terraform, Fine-tuning, Microsoft 365, Azure AI Services
Technologies
Python, SQL, Microsoft Azure, Azure OpenAI, Azure Machine Learning, Docker, CI/CD, Kubernetes, Terraform
Responsibilities
Design and develop AI applications and LLM-powered solutions; Build intelligent workflows integrating AI with enterprise apps; Liaise with data teams to develop pipelines and prepare data; Develop and evaluate ML models for forecasting and prediction; Deploy and monitor AI applications in production; Implement MLOps practices including testing and version control; Apply security, privacy, and responsible AI principles.
Seniority
Mid-level (3–5 years experience)