Lead AI Engineer
Core
Design, develop, and implement enterprise-scale AI-driven solutions, including LLM automation, agentic workflows, and AI integration within the software development lifecycle.
Role type
Lead AI Engineer (Technical Leadership & Hands-on IC)
Builds
AI orchestration workflows, MCP servers, RAG systems, Intelligent Document Processing, and AI-enhanced SDLC tooling.
Domain
Financial Services / Enterprise AI & Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
LLM API integration, prompt engineering, RAG systems, vector databases, agentic AI patterns, MCP server development, API architecture (REST/SOAP), cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, .NET/C#, Java, Python, SQL, architectural design patterns (MVC, MVVM, SOA)
Preferred skills
Agentic automation, machine learning model training (Scikit-learn, TensorFlow, Pytorch), Microsoft Azure certifications, open-source contributions to AI/ML
Technologies
.NET, C#, Java, Python, SQL, Git, Azure, AWS, GCP, Docker, Kubernetes, UiPath, MCP, LLM APIs, Vector Databases
Responsibilities
Lead design and development of MCP servers and AI automation tools; mentor colleagues on AI product reviews and technology adoption; evaluate enterprise AI platforms and recommend solutions; implement AI-driven practices across engineering teams; design and maintain AI workflow orchestration and governance frameworks.
Seniority
Senior, hands-on IC with technical leadership
