Sr Machine Learning / AI Engineer / MLOps Engineer
Core
Operating, hardening, and continuously improving the production infrastructure for autonomous agents, multi-agent architectures, and AI features to ensure reliable execution of complex workflows.
Role type
Senior MLOps Engineer (LLM & Agentic Systems)
Builds
Production-grade LLM and agentic systems, including deployments, monitoring, and on-call workflows for autonomous agents.
Domain
Enterprise AI, Large Language Models (LLMs), Autonomous Agents, Platform Engineering
Deliverable
production ML models
Required skills
Python, LangChain, LlamaIndex, Docker, Kubernetes, GitOps, GitHub Actions, Model Monitoring, Incident Response, System Design, Threat Modeling
Preferred skills
RAG, Fine-tuning, Alignment Techniques, Prompt Engineering, Load Simulations, Security Upgrades
Technologies
LangSmith, LangChain, LlamaIndex, Docker, Kubernetes, GitHub Actions
Responsibilities
Manage the entire deployment lifecycle for the Peakon Agent and AI Features; ensure reliability of long-running agentic loops and memory stores; build tooling to surface agent trajectory and evaluation data; support performance testing and latency benchmarking for LLM-driven applications; automate security upgrades for ML dependencies.
Seniority
Senior, hands-on IC
