Senior AI & ML Engineer
Core
Design, develop, and operate production-grade AI/ML solutions, including LLMs, RAG, and multi-agent systems, to drive architectural decisions and best practices for agentic applications.
Role type
Senior IC machine-learning engineer (LLM, RAG, multi-agent systems)
Builds
Production-grade AI/ML solutions, agentic applications, and scalable AI infrastructure
Domain
Enterprise IT management, digital employee experience, cloud-based AI
Deliverable
production ML models
Required skills
Python, LLM-powered production applications, machine learning fundamentals, NLP systems, MLOps, AI model fine-tuning, AWS, reinforcement learning, retrieval-augmented generation, multi-agent AI architectures
Preferred skills
Model optimization for latency/throughput/cost, orchestration frameworks, enterprise/B2B AI system design
Technologies
Python, AWS, LLMs, RAG, multi-agent systems
Responsibilities
Own end-to-end design, development, and operation of production-grade AI/ML solutions; Make key architectural decisions across model selection, training strategies, and orchestration layers; Implement and manage MLOps practices for deployment and monitoring; Mentor junior AI engineers
Seniority
Senior, hands-on IC