Senior Software Engineer, GenAI

Clario

1d

About The Position

Join CLARIO as a Senior Software Engineer in our GenAI department and play a leading role in building the next generation of AI-powered solutions for the biopharmaceutical and healthcare industries. As a senior engineer, you will architect, develop, and deploy advanced agentic and multi-modal AI systems that drive innovation, improve patient outcomes, and set new industry standards. This is a unique opportunity to work at the forefront of generative AI, collaborating with world-class experts in a dynamic, mission-driven environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in software engineering, with a strong track record of building and deploying AI/ML solutions
• Deep proficiency in Python and experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
• Interest or experience with agentic AI, retrieval augmented generation, vector databases, and LlamaIndex
• Strong proficiency developing and maintaining APIs in Python (FastAPI)
• Hands-on experience with deploying and operationalizing backend services in a Kubernetes-based environment.
• Hands-on experience with model serving in cloud environments, with technologies such as Amazon Sagemaker and Bedrock
• Strong understanding of cloud-based architectures and DevOps practices (AWS and GitLab CI/CD experience preferred)
• Proven ability to lead complex technical projects and mentor other engineers
• Excellent problem-solving, communication, and collaboration skills
• Commitment to code quality, security, scalability, and performance
• Passion for innovation and staying at the cutting edge of AI technology

Responsibilities

• Design, develop, and deploy robust AI-powered applications, with a focus on agentic and multi-modal AI systems.
• Architect scalable, production-grade software solutions using modern programming languages (Python preferred) and AI/ML frameworks (e.g., PyTorch).
• Lead the end-to-end development lifecycle: from ideation and prototyping to deployment and monitoring in cloud environments (AWS preferred).
• Collaborate closely with AI researchers, scientists, software developers, and product managers to translate business needs into technical solutions.
• Build and optimize data pipelines for training, evaluating, and serving AI models.
• Implement best practices for code quality, testing, CI/CD, and DevOps within the GenAI team.
• Mentor and guide junior engineers, fostering a culture of technical excellence, innovation, and continuous learning.
• Stay current with advancements in AI, agentic systems, cloud engineering, and drive their adoption within the team.
• Contribute to strategic planning, technical roadmaps, and cross-functional initiatives that align with organizational goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level