AI Engineer

đŸ”„ 16 hours ago

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Clario

5001 - 10000 employees

Founded 1973

⚕ Healthcare Insurance

🧬 Biotechnology

đŸ€– Artificial Intelligence

💰 Private Equity Round on 2019-10

Healthcare Insurance ‱ Biotechnology ‱ Artificial Intelligence

Clario is a company specializing in accelerating clinical trials from initiation to implementation through advanced technologies and services. Since 2018, Clario has revolutionized endpoint analyses in clinical trials by integrating over 30 artificial intelligence-enabled solutions across more than 600 active trials, enhancing data quality and patient privacy while expediting data collection processes. Clario provides a comprehensive clinical trial management platform, offering solutions such as eCOA, cardiac safety, medical imaging, precision motion, and respiratory services in various therapeutic areas including oncology, cardiology, and neurology. Known for its global reach, Clario supports clinical trials in over 100 countries with a strong focus on decentralized and hybrid trial models. The company's commitment to patient safety and innovation is reflected in their over 26,000 trials and involvement in numerous new drug approvals.

📋 Description

‱ Design, develop, and maintain AI-powered applications with a strong focus on Agentic AI, AI Agents, and LLM-enabled workflows ‱ Build software services, APIs, and orchestration layers that connect AI models and tools into scalable production solutions ‱ Contribute to the design, training, fine-tuning, evaluation, and deployment of AI models, including large language models and supporting ML components ‱ Develop and optimize data pipelines for model training, retrieval, evaluation, and monitoring ‱ Implement testing strategies, benchmarks, and quality controls to ensure AI systems are reliable, accurate, secure, and performant ‱ Collaborate with AI engineers, software developers, scientists, and product managers to translate business requirements into technical solutions ‱ Participate in the full software development lifecycle: design, implementation, testing, deployment, and monitoring in cloud environments (AWS preferred) ‱ Apply engineering best practices for code quality, documentation, maintainability, and operational excellence ‱ Support experimentation with new AI techniques, frameworks, and tooling, and help mature promising ideas into production capabilities ‱ Stay up to date with advancements in generative AI, agentic systems, multi-modal AI, and cloud engineering.

🎯 Requirements

‱ Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's a plus) ‱ 3+ years of experience in software engineering, AI engineering, machine learning, or a related technical field ‱ Strong proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow ‱ Experience building AI-enabled software applications and integrating machine learning or LLM capabilities into backend systems ‱ Hands-on experience or strong interest in Agentic AI, AI Agents, tool-use workflows, or multi-step orchestration patterns ‱ Familiarity with model training, fine-tuning, evaluation, prompt and workflow design, or model-serving concepts ‱ Understanding of cloud-based architectures ‱ Strong problem-solving, communication, and collaboration skills ‱ Commitment to code quality, security, scalability, and performance ‱ Eagerness to learn, adapt, and stay current with emerging AI technologies and engineering practices.

đŸ–ïž Benefits

‱ health insurance ‱ retirement plans ‱ paid time off ‱ flexible work arrangements ‱ professional development

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