Beamteq is hiring an AI Engineer to ship intelligent features that combine trustworthy data pipelines, optimized models, and responsible guardrails. What you'll do Build and maintain ML pipelines spanning data ingestion, feature engineering, training, and continuous evaluation. Optimize generative and predictive models for latency, cost, and safety while aligning with product KPIs. Embed responsible AI practices across experimentation, monitoring, and human in the loop review cycles. What you'll bring 5+ years delivering machine learning or MLOps solutions in production environments. Proficiency with Python, deep learning frameworks, vector databases, and cloud AI services. Clear storytelling around model outcomes, risks, and roadmap trade offs for technical and business stakeholders. Ready to apply? Email usa-dev@beamteq.com with your resume and recent project links.