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 using 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