AI Engineer
Core
Design, develop, and deploy Generative AI and Agentic AI frameworks to build intelligent, autonomous systems and data-driven applications for enterprise business units.
Role type
AI Engineer (Generative & Agentic AI)
Builds
Intelligent autonomous systems, data applications, and BI dashboards
Domain
Enterprise AI, Generative AI, Agentic AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Java, C#, TensorFlow, Pytorch, LangChain, Hugging Face, OpenAI APIs, prompt engineering, RAG, multimodal AI, autonomous reasoning, MLOps, CI/CD, model versioning, artifact management, Azure infrastructure, Snowflake, Power BI, Tableau
Preferred skills
Real-time AI applications, AutoGPT, OpenAI Assistants API, CrewAI
Technologies
Azure, AWS SageMaker, GCP AI, Azure ML, Azure Monitor, Grafana, Prometheus, Splunk, Application Insights
Responsibilities
Design, build, deploy, and monitor AI/ML models, agents, and model endpoints; Develop Agentic AI and Generative AI solutions; Integrate AI models into business applications; Build and maintain data and MLOps pipelines; Collaborate with cross-functional teams to create BI dashboards
Seniority
Junior to Mid-level (0–2 years experience)