Senior AI Engineer

We're hiring a Software Engineer to build the infrastructure that powers our AI agents and ML systems end-to-end — from fine-tuning foundation models to shipping production-grade agent harnesses. You'll work across the stack: building MLOps pipelines, customizing LLMs, LLM Fine tuning Your responsibilities Design and build agent harnesses in Python — the runtime scaffolding that enables AI agents to perceive, reason, plan, and act reliably Develop and maintain a robust MLOps framework using Kubeflow and complementary tooling (MLflow, Argo, Airflow, or similar) to orchestrate training, evaluation, and deployment workflows Fine-tune foundation LLMs u sing techniques such as LoRA/QLoRA, SFT, and RLHF; manage datasets, training runs, and evaluation pipelines Your skills and experience Must to Have: Bachelor's or Master's degree in Engineering, along with around 5+ years of experience in Python development, including building and supporting production systems Hands-on experience working with agent-based or agentic systems, using at least one framework such as LangGraph, CrewAI, AutoGen, LangChain, or LlamaIndex Exposure to designing or contributing to MLOps pipelines, with familiarity with tools like Kubeflow LLM fine tuning using domain specific data Data collection and curation for LLM fine tuning