Senior AI Engineer

Overview

Senior AI Engineer to design, deploy, and operate production-grade AI systems for an Enterprise AI Platform used across engineering teams.

What you'll do

• Build reusable AI services for prompt orchestration, model routing, embeddings, structured generation, and tool calling.
• Develop configurable multi-provider AI runtimes and secure cloud-native microservices.
• Design multi-agent and autonomous systems including reasoning, planning, memory, and tool execution.
• Build enterprise-grade RAG pipelines and continuously evaluate retrieval quality.
• Train, fine-tune (LoRA/QLoRA/PEFT), and evaluate ML/DL models; productionize with partners.
• Deploy, monitor, and improve agents and models in production with experimentation and release controls.

What you'll need

• Bachelor's/Master's in Computer Science, AI, Engineering, or related field.
• 8+ years of software engineering experience, including 3+ years building production AI/ML apps.
• Strong grounding in distributed systems, cloud-native architecture, and microservices.
• Track record delivering enterprise-grade AI solutions from POC to production.

Details

• Role supports an Enterprise AI Platform across engineering teams.