AI Engineer
Core
Design, develop, and deploy AI including Generative AI and Agentic AI frameworks to build intelligent and autonomous systems for enterprise business needs.
Role type
AI Engineer (Generative AI & Agentic AI)
Builds
Intelligent AI systems, data-based applications, and dashboards for high-visibility business use cases.
Domain
Enterprise AI, Generative AI, Agentic AI, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Java, C#, TensorFlow, Pytorch, LangChain, Hugging Face, OpenAI APIs, prompt engineering, retrieval-augmented generation (RAG), multimodal AI, autonomous reasoning frameworks, cloud computing, data preprocessing, feature engineering, model evaluation
Preferred skills
real-time AI applications, Agentic AI frameworks (AutoGPT, OpenAI's Assistants API, CrewAI)
Technologies
Azure, AWS SageMaker, GCP AI, Azure ML, Snowflake, MongoDB, Postgres, Power BI, Tableau
Responsibilities
Design, develop, and deploy machine learning, Generative AI, and Agentic AI solutions; Build intelligent AI systems using prompt engineering, RAG, and autonomous reasoning frameworks; Develop, integrate, and deploy AI/ML models and software applications in production environments; Prepare, analyze, and manage structured and unstructured data, including building data pipelines; Collaborate with cross-functional teams to embed AI into applications and create business dashboards
Seniority
Junior to Mid-level (0–2 years experience)
