Mid-Level AI/ML Engineer

3+ years of professional experience in a software engineering or machine learning role. Strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn). Hands-on experience building and shipping models using at least one major ML framework. Proven experience with the practical application of Large Language Models (LLMs). Familiarity with frameworks like LangChain/LangGraph and retrieval-augmented generation (RAG) is a significant plus. Solid understanding of software engineering best practices, including version control (Git), testing, CI/CD, and containerization (Docker). A BSc/MS in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Design, build, and maintain production-grade ML systems, from data ingestion and processing to model deployment and monitoring. Develop and fine-tune generative AI models, including LLMs, for specialized tasks. Architect and implement reliable data pipelines and low-latency inference services using our core stack (FastAPI, Docker, Kubeflow, AWS/GCP). Collaborate with senior engineers, researchers, and client stakeholders to translate business problems into technical solutions. Take ownership of key components of our ML platform, ensuring code quality, performance, and scalability.