Senior AI Engineer
Core
Design and ship end-to-end AI solutions for complex enterprise problems, spanning agentic AI systems, LLM applications, and production ML pipelines.
Role type
Senior AI Engineer (Customer-facing field team)
Builds
Agentic AI systems, multi-agent frameworks, LLM-powered applications, scalable backend services, and LLMOps infrastructure.
Domain
Enterprise AI, Generative AI, Predictive AI, Sovereign AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, RAG, fine-tuning, PEFT-QLORA, model distillation, synthetic data generation, guardrails, LLMOps, REST APIs, Docker, Kubernetes, CI/CD
Preferred skills
Kaggle experience, financial services/healthcare AI deployment, tabular foundation models, AutoML, H2O.ai products (TabH2O, TimeH2O, Lightning-JEV)
Responsibilities
Design and build agentic AI systems and multi-agent frameworks; Develop and deploy LLM-powered applications using RAG and fine-tuning; Own the full development lifecycle from problem framing to production deployment; Build scalable backend services and APIs; Integrate AI models into customer environments (cloud, on-prem, hybrid); Work directly with customer stakeholders to translate problems into AI solutions.
Seniority
Senior, hands-on IC
